File size: 249,270 Bytes
8748c22 eac8f09 8748c22 eac8f09 8748c22 eac8f09 8748c22 eac8f09 8748c22 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757 758 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775 776 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792 793 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863 864 865 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900 901 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919 920 921 922 923 924 925 926 927 928 929 930 931 932 933 934 935 936 937 938 939 940 941 942 943 944 945 946 947 948 949 950 951 952 953 954 955 956 957 958 959 960 961 962 963 964 965 966 967 968 969 970 971 972 973 974 975 976 977 978 979 980 981 982 983 984 985 986 987 988 989 990 991 992 993 994 995 996 997 998 999 1000 1001 1002 1003 1004 1005 1006 1007 1008 1009 1010 1011 1012 1013 1014 1015 1016 1017 1018 1019 1020 1021 1022 1023 1024 1025 1026 1027 1028 1029 1030 1031 1032 1033 1034 1035 1036 1037 1038 1039 1040 1041 1042 1043 1044 1045 1046 1047 1048 1049 1050 1051 1052 1053 1054 1055 1056 1057 1058 1059 1060 1061 1062 1063 1064 1065 1066 1067 1068 1069 1070 1071 1072 1073 1074 1075 1076 1077 1078 1079 1080 1081 1082 1083 1084 1085 1086 1087 1088 1089 1090 1091 1092 1093 1094 1095 1096 1097 1098 1099 1100 1101 1102 1103 1104 1105 1106 1107 1108 1109 1110 1111 1112 1113 1114 1115 1116 1117 1118 1119 1120 1121 1122 1123 1124 1125 1126 1127 1128 1129 1130 1131 1132 1133 1134 1135 1136 1137 1138 1139 1140 1141 1142 1143 1144 1145 1146 1147 1148 1149 1150 1151 1152 1153 1154 1155 1156 1157 1158 1159 1160 1161 1162 1163 1164 1165 1166 1167 1168 1169 1170 1171 1172 1173 1174 1175 1176 1177 1178 1179 1180 1181 1182 1183 1184 1185 1186 1187 1188 1189 1190 1191 1192 1193 1194 1195 1196 1197 1198 1199 1200 1201 1202 1203 1204 1205 1206 1207 1208 1209 1210 1211 1212 1213 1214 1215 1216 1217 1218 1219 1220 1221 1222 1223 1224 1225 1226 1227 1228 1229 1230 1231 1232 1233 1234 1235 1236 1237 1238 1239 1240 1241 1242 1243 1244 1245 1246 1247 1248 1249 1250 1251 1252 1253 1254 1255 1256 1257 1258 1259 1260 1261 1262 1263 1264 1265 1266 1267 1268 1269 1270 1271 1272 1273 1274 1275 1276 1277 1278 1279 1280 1281 1282 1283 1284 1285 1286 1287 1288 1289 1290 1291 1292 1293 1294 1295 1296 1297 1298 1299 1300 1301 1302 1303 1304 1305 1306 1307 1308 1309 1310 1311 1312 1313 1314 1315 1316 1317 1318 1319 1320 1321 1322 1323 1324 1325 1326 1327 1328 1329 1330 1331 1332 1333 1334 1335 1336 1337 1338 1339 1340 1341 1342 1343 1344 1345 1346 1347 1348 1349 1350 1351 1352 1353 1354 1355 1356 1357 1358 1359 1360 1361 1362 1363 1364 1365 1366 1367 1368 1369 1370 1371 1372 1373 1374 1375 1376 1377 1378 1379 1380 1381 1382 1383 1384 1385 1386 1387 1388 1389 1390 1391 1392 1393 1394 1395 1396 1397 1398 1399 1400 1401 1402 1403 1404 1405 1406 1407 1408 1409 1410 1411 1412 1413 1414 1415 1416 1417 1418 1419 1420 1421 1422 1423 1424 1425 1426 1427 1428 1429 1430 1431 1432 1433 1434 1435 1436 1437 1438 1439 1440 1441 1442 1443 1444 1445 1446 1447 1448 1449 1450 1451 1452 1453 1454 1455 1456 1457 1458 1459 1460 1461 1462 1463 1464 1465 1466 1467 1468 1469 1470 1471 1472 1473 1474 1475 1476 1477 1478 1479 1480 1481 1482 1483 1484 1485 1486 1487 1488 1489 1490 1491 1492 1493 1494 1495 1496 1497 1498 1499 1500 1501 1502 1503 1504 1505 1506 1507 1508 1509 1510 1511 1512 1513 1514 1515 1516 1517 1518 1519 1520 1521 1522 1523 1524 1525 1526 1527 1528 1529 1530 1531 1532 1533 1534 1535 1536 1537 1538 1539 1540 1541 1542 1543 1544 1545 1546 1547 1548 1549 1550 1551 1552 1553 1554 1555 1556 1557 1558 1559 1560 1561 1562 1563 1564 1565 1566 1567 1568 1569 1570 1571 1572 1573 1574 1575 1576 1577 1578 1579 1580 1581 1582 1583 1584 1585 1586 1587 1588 1589 1590 1591 1592 1593 1594 1595 1596 1597 1598 1599 1600 1601 1602 1603 1604 1605 1606 1607 1608 1609 1610 1611 1612 1613 1614 1615 1616 1617 1618 1619 1620 1621 1622 1623 1624 1625 1626 1627 1628 1629 1630 1631 1632 1633 1634 1635 1636 1637 1638 1639 1640 1641 1642 1643 1644 1645 1646 1647 1648 1649 1650 1651 1652 1653 1654 1655 1656 1657 1658 1659 1660 1661 1662 1663 1664 1665 1666 1667 1668 1669 1670 1671 1672 1673 1674 1675 1676 1677 1678 1679 1680 1681 1682 1683 1684 1685 1686 1687 1688 1689 1690 1691 1692 1693 1694 1695 1696 1697 1698 1699 1700 1701 1702 1703 1704 1705 1706 1707 1708 1709 1710 1711 1712 1713 1714 1715 1716 1717 1718 1719 1720 1721 1722 1723 1724 1725 1726 1727 1728 1729 1730 1731 1732 1733 1734 1735 1736 1737 1738 1739 1740 1741 1742 1743 1744 1745 1746 1747 1748 1749 1750 1751 1752 1753 1754 1755 1756 1757 1758 1759 1760 1761 1762 1763 1764 1765 1766 1767 1768 1769 1770 1771 1772 1773 1774 1775 1776 1777 1778 1779 1780 1781 1782 1783 1784 1785 1786 1787 1788 1789 1790 1791 1792 1793 1794 1795 1796 1797 1798 1799 1800 1801 1802 1803 1804 1805 1806 1807 1808 1809 1810 1811 1812 1813 1814 1815 1816 1817 1818 1819 1820 1821 1822 1823 1824 1825 1826 1827 1828 1829 1830 1831 1832 1833 1834 1835 1836 1837 1838 1839 1840 1841 1842 1843 1844 1845 1846 1847 1848 1849 1850 1851 1852 1853 1854 1855 1856 1857 1858 1859 1860 1861 1862 1863 1864 1865 1866 1867 1868 1869 1870 1871 1872 1873 1874 1875 1876 1877 1878 1879 1880 1881 1882 1883 1884 1885 1886 1887 1888 1889 1890 1891 1892 1893 1894 1895 1896 1897 1898 1899 1900 1901 1902 1903 1904 1905 1906 1907 1908 1909 1910 1911 1912 1913 1914 1915 1916 1917 1918 1919 1920 1921 1922 1923 1924 1925 1926 1927 1928 1929 1930 1931 1932 1933 1934 1935 1936 1937 1938 1939 1940 1941 1942 1943 1944 1945 1946 1947 1948 1949 1950 1951 1952 1953 1954 1955 1956 1957 1958 1959 1960 1961 1962 1963 1964 1965 1966 1967 1968 1969 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027 2028 2029 2030 2031 2032 2033 2034 2035 2036 2037 2038 2039 2040 2041 2042 2043 2044 2045 2046 2047 2048 2049 2050 2051 2052 2053 2054 2055 2056 2057 2058 2059 2060 2061 2062 2063 2064 2065 2066 2067 2068 2069 2070 2071 2072 2073 2074 2075 2076 2077 2078 2079 2080 2081 2082 2083 2084 2085 2086 2087 2088 2089 2090 2091 2092 2093 2094 2095 2096 2097 2098 2099 2100 2101 2102 2103 2104 2105 2106 2107 2108 2109 2110 2111 2112 2113 2114 2115 2116 2117 2118 2119 2120 2121 2122 2123 2124 2125 2126 2127 2128 2129 2130 2131 2132 2133 2134 2135 2136 2137 2138 2139 2140 2141 2142 2143 2144 2145 2146 2147 2148 2149 2150 2151 2152 2153 2154 2155 2156 2157 2158 2159 2160 2161 2162 2163 2164 2165 2166 2167 2168 2169 2170 2171 2172 2173 2174 2175 2176 2177 2178 2179 2180 2181 2182 2183 |
2023-04-05 22:24:54,608 ----------------------------------------------------------------------------------------------------
2023-04-05 22:24:54,608 Model: "SequenceTagger(
(embeddings): StackedEmbeddings(
(list_embedding_0): FlairEmbeddings(
(lm): LanguageModel(
(drop): Dropout(p=0.25, inplace=False)
(encoder): Embedding(275, 100)
(rnn): LSTM(100, 1024)
)
)
(list_embedding_1): FlairEmbeddings(
(lm): LanguageModel(
(drop): Dropout(p=0.25, inplace=False)
(encoder): Embedding(275, 100)
(rnn): LSTM(100, 1024)
)
)
)
(word_dropout): WordDropout(p=0.05)
(locked_dropout): LockedDropout(p=0.5)
(embedding2nn): Linear(in_features=2048, out_features=2048, bias=True)
(rnn): LSTM(2048, 256, batch_first=True, bidirectional=True)
(linear): Linear(in_features=512, out_features=19, bias=True)
(loss_function): ViterbiLoss()
(crf): CRF()
)"
2023-04-05 22:24:54,608 ----------------------------------------------------------------------------------------------------
2023-04-05 22:24:54,608 Corpus: "Corpus: 75187 train + 9603 dev + 9479 test sentences"
2023-04-05 22:24:54,608 ----------------------------------------------------------------------------------------------------
2023-04-05 22:24:54,608 Parameters:
2023-04-05 22:24:54,608 - learning_rate: "0.100000"
2023-04-05 22:24:54,608 - mini_batch_size: "32"
2023-04-05 22:24:54,608 - patience: "3"
2023-04-05 22:24:54,608 - anneal_factor: "0.5"
2023-04-05 22:24:54,609 - max_epochs: "150"
2023-04-05 22:24:54,609 - shuffle: "True"
2023-04-05 22:24:54,609 - train_with_dev: "True"
2023-04-05 22:24:54,609 - batch_growth_annealing: "False"
2023-04-05 22:24:54,609 ----------------------------------------------------------------------------------------------------
2023-04-05 22:24:54,609 Model training base path: "resources/taggers/release-upos-fast-0"
2023-04-05 22:24:54,609 ----------------------------------------------------------------------------------------------------
2023-04-05 22:24:54,609 Device: cuda:3
2023-04-05 22:24:54,609 ----------------------------------------------------------------------------------------------------
2023-04-05 22:24:54,609 Embeddings storage mode: cpu
2023-04-05 22:24:54,609 ----------------------------------------------------------------------------------------------------
2023-04-05 22:25:06,413 epoch 1 - iter 265/2650 - loss 0.55461956 - time (sec): 11.80 - samples/sec: 5136.36 - lr: 0.100000
2023-04-05 22:25:29,108 epoch 1 - iter 530/2650 - loss 0.33109123 - time (sec): 34.50 - samples/sec: 6287.44 - lr: 0.100000
2023-04-05 22:25:56,262 epoch 1 - iter 795/2650 - loss 0.27411899 - time (sec): 61.65 - samples/sec: 6373.99 - lr: 0.100000
2023-04-05 22:26:19,246 epoch 1 - iter 1060/2650 - loss 0.23893202 - time (sec): 84.64 - samples/sec: 6504.69 - lr: 0.100000
2023-04-05 22:26:34,718 epoch 1 - iter 1325/2650 - loss 0.21470671 - time (sec): 100.11 - samples/sec: 6697.10 - lr: 0.100000
2023-04-05 22:26:54,211 epoch 1 - iter 1590/2650 - loss 0.19695657 - time (sec): 119.60 - samples/sec: 6776.07 - lr: 0.100000
2023-04-05 22:27:22,616 epoch 1 - iter 1855/2650 - loss 0.18704234 - time (sec): 148.01 - samples/sec: 6926.82 - lr: 0.100000
2023-04-05 22:27:45,452 epoch 1 - iter 2120/2650 - loss 0.18126350 - time (sec): 170.84 - samples/sec: 7006.30 - lr: 0.100000
2023-04-05 22:28:04,109 epoch 1 - iter 2385/2650 - loss 0.17845021 - time (sec): 189.50 - samples/sec: 6895.30 - lr: 0.100000
2023-04-05 22:28:26,828 epoch 1 - iter 2650/2650 - loss 0.17415864 - time (sec): 212.22 - samples/sec: 6890.82 - lr: 0.100000
2023-04-05 22:28:26,828 ----------------------------------------------------------------------------------------------------
2023-04-05 22:28:26,828 EPOCH 1 done: loss 0.1742 - lr 0.100000
2023-04-05 22:28:26,828 BAD EPOCHS (no improvement): 0
2023-04-05 22:28:26,832 ----------------------------------------------------------------------------------------------------
2023-04-05 22:28:43,253 epoch 2 - iter 265/2650 - loss 0.13208856 - time (sec): 16.42 - samples/sec: 8859.38 - lr: 0.100000
2023-04-05 22:28:59,881 epoch 2 - iter 530/2650 - loss 0.12981199 - time (sec): 33.05 - samples/sec: 8873.16 - lr: 0.100000
2023-04-05 22:29:16,401 epoch 2 - iter 795/2650 - loss 0.12842017 - time (sec): 49.57 - samples/sec: 8840.19 - lr: 0.100000
2023-04-05 22:29:33,361 epoch 2 - iter 1060/2650 - loss 0.12697243 - time (sec): 66.53 - samples/sec: 8786.33 - lr: 0.100000
2023-04-05 22:29:50,498 epoch 2 - iter 1325/2650 - loss 0.12530920 - time (sec): 83.67 - samples/sec: 8753.42 - lr: 0.100000
2023-04-05 22:30:07,106 epoch 2 - iter 1590/2650 - loss 0.12467123 - time (sec): 100.27 - samples/sec: 8751.18 - lr: 0.100000
2023-04-05 22:30:24,012 epoch 2 - iter 1855/2650 - loss 0.12395777 - time (sec): 117.18 - samples/sec: 8734.37 - lr: 0.100000
2023-04-05 22:30:40,752 epoch 2 - iter 2120/2650 - loss 0.12322413 - time (sec): 133.92 - samples/sec: 8739.02 - lr: 0.100000
2023-04-05 22:30:57,442 epoch 2 - iter 2385/2650 - loss 0.12245028 - time (sec): 150.61 - samples/sec: 8735.92 - lr: 0.100000
2023-04-05 22:31:14,191 epoch 2 - iter 2650/2650 - loss 0.12158365 - time (sec): 167.36 - samples/sec: 8737.91 - lr: 0.100000
2023-04-05 22:31:14,191 ----------------------------------------------------------------------------------------------------
2023-04-05 22:31:14,191 EPOCH 2 done: loss 0.1216 - lr 0.100000
2023-04-05 22:31:14,191 BAD EPOCHS (no improvement): 0
2023-04-05 22:31:14,195 ----------------------------------------------------------------------------------------------------
2023-04-05 22:31:30,906 epoch 3 - iter 265/2650 - loss 0.10698485 - time (sec): 16.71 - samples/sec: 8907.18 - lr: 0.100000
2023-04-05 22:31:47,365 epoch 3 - iter 530/2650 - loss 0.10833667 - time (sec): 33.17 - samples/sec: 8850.94 - lr: 0.100000
2023-04-05 22:32:04,311 epoch 3 - iter 795/2650 - loss 0.10989417 - time (sec): 50.12 - samples/sec: 8797.18 - lr: 0.100000
2023-04-05 22:32:20,907 epoch 3 - iter 1060/2650 - loss 0.10958789 - time (sec): 66.71 - samples/sec: 8791.90 - lr: 0.100000
2023-04-05 22:32:37,491 epoch 3 - iter 1325/2650 - loss 0.10964895 - time (sec): 83.30 - samples/sec: 8806.23 - lr: 0.100000
2023-04-05 22:32:53,853 epoch 3 - iter 1590/2650 - loss 0.10975393 - time (sec): 99.66 - samples/sec: 8822.79 - lr: 0.100000
2023-04-05 22:33:10,697 epoch 3 - iter 1855/2650 - loss 0.10956270 - time (sec): 116.50 - samples/sec: 8785.19 - lr: 0.100000
2023-04-05 22:33:27,742 epoch 3 - iter 2120/2650 - loss 0.10937833 - time (sec): 133.55 - samples/sec: 8763.45 - lr: 0.100000
2023-04-05 22:33:44,400 epoch 3 - iter 2385/2650 - loss 0.10880904 - time (sec): 150.20 - samples/sec: 8761.64 - lr: 0.100000
2023-04-05 22:34:01,374 epoch 3 - iter 2650/2650 - loss 0.10855739 - time (sec): 167.18 - samples/sec: 8747.26 - lr: 0.100000
2023-04-05 22:34:01,375 ----------------------------------------------------------------------------------------------------
2023-04-05 22:34:01,375 EPOCH 3 done: loss 0.1086 - lr 0.100000
2023-04-05 22:34:01,375 BAD EPOCHS (no improvement): 0
2023-04-05 22:34:01,379 ----------------------------------------------------------------------------------------------------
2023-04-05 22:34:18,334 epoch 4 - iter 265/2650 - loss 0.10150403 - time (sec): 16.95 - samples/sec: 8641.68 - lr: 0.100000
2023-04-05 22:34:35,167 epoch 4 - iter 530/2650 - loss 0.10209378 - time (sec): 33.79 - samples/sec: 8567.55 - lr: 0.100000
2023-04-05 22:34:51,529 epoch 4 - iter 795/2650 - loss 0.10218058 - time (sec): 50.15 - samples/sec: 8669.40 - lr: 0.100000
2023-04-05 22:35:08,481 epoch 4 - iter 1060/2650 - loss 0.10198727 - time (sec): 67.10 - samples/sec: 8670.30 - lr: 0.100000
2023-04-05 22:35:24,652 epoch 4 - iter 1325/2650 - loss 0.10222948 - time (sec): 83.27 - samples/sec: 8715.67 - lr: 0.100000
2023-04-05 22:35:41,267 epoch 4 - iter 1590/2650 - loss 0.10176454 - time (sec): 99.89 - samples/sec: 8751.54 - lr: 0.100000
2023-04-05 22:35:57,763 epoch 4 - iter 1855/2650 - loss 0.10192281 - time (sec): 116.38 - samples/sec: 8773.97 - lr: 0.100000
2023-04-05 22:36:14,141 epoch 4 - iter 2120/2650 - loss 0.10158310 - time (sec): 132.76 - samples/sec: 8790.07 - lr: 0.100000
2023-04-05 22:36:30,975 epoch 4 - iter 2385/2650 - loss 0.10150044 - time (sec): 149.60 - samples/sec: 8786.07 - lr: 0.100000
2023-04-05 22:36:47,492 epoch 4 - iter 2650/2650 - loss 0.10159585 - time (sec): 166.11 - samples/sec: 8803.43 - lr: 0.100000
2023-04-05 22:36:47,492 ----------------------------------------------------------------------------------------------------
2023-04-05 22:36:47,492 EPOCH 4 done: loss 0.1016 - lr 0.100000
2023-04-05 22:36:47,492 BAD EPOCHS (no improvement): 0
2023-04-05 22:36:47,495 ----------------------------------------------------------------------------------------------------
2023-04-05 22:37:04,087 epoch 5 - iter 265/2650 - loss 0.09669930 - time (sec): 16.59 - samples/sec: 8779.35 - lr: 0.100000
2023-04-05 22:37:20,758 epoch 5 - iter 530/2650 - loss 0.09741709 - time (sec): 33.26 - samples/sec: 8805.62 - lr: 0.100000
2023-04-05 22:37:37,538 epoch 5 - iter 795/2650 - loss 0.09691965 - time (sec): 50.04 - samples/sec: 8782.12 - lr: 0.100000
2023-04-05 22:37:53,856 epoch 5 - iter 1060/2650 - loss 0.09634386 - time (sec): 66.36 - samples/sec: 8796.41 - lr: 0.100000
2023-04-05 22:38:10,911 epoch 5 - iter 1325/2650 - loss 0.09676453 - time (sec): 83.42 - samples/sec: 8767.82 - lr: 0.100000
2023-04-05 22:38:27,558 epoch 5 - iter 1590/2650 - loss 0.09692362 - time (sec): 100.06 - samples/sec: 8763.01 - lr: 0.100000
2023-04-05 22:38:44,091 epoch 5 - iter 1855/2650 - loss 0.09659116 - time (sec): 116.60 - samples/sec: 8773.15 - lr: 0.100000
2023-04-05 22:39:00,586 epoch 5 - iter 2120/2650 - loss 0.09615194 - time (sec): 133.09 - samples/sec: 8792.61 - lr: 0.100000
2023-04-05 22:39:17,568 epoch 5 - iter 2385/2650 - loss 0.09615626 - time (sec): 150.07 - samples/sec: 8782.84 - lr: 0.100000
2023-04-05 22:39:33,683 epoch 5 - iter 2650/2650 - loss 0.09605138 - time (sec): 166.19 - samples/sec: 8799.47 - lr: 0.100000
2023-04-05 22:39:33,683 ----------------------------------------------------------------------------------------------------
2023-04-05 22:39:33,683 EPOCH 5 done: loss 0.0961 - lr 0.100000
2023-04-05 22:39:33,683 BAD EPOCHS (no improvement): 0
2023-04-05 22:39:33,686 ----------------------------------------------------------------------------------------------------
2023-04-05 22:39:50,557 epoch 6 - iter 265/2650 - loss 0.09008666 - time (sec): 16.87 - samples/sec: 8636.29 - lr: 0.100000
2023-04-05 22:40:07,430 epoch 6 - iter 530/2650 - loss 0.09186381 - time (sec): 33.74 - samples/sec: 8621.30 - lr: 0.100000
2023-04-05 22:40:24,397 epoch 6 - iter 795/2650 - loss 0.09255650 - time (sec): 50.71 - samples/sec: 8645.63 - lr: 0.100000
2023-04-05 22:40:40,712 epoch 6 - iter 1060/2650 - loss 0.09259690 - time (sec): 67.03 - samples/sec: 8691.21 - lr: 0.100000
2023-04-05 22:40:57,211 epoch 6 - iter 1325/2650 - loss 0.09269984 - time (sec): 83.52 - samples/sec: 8730.21 - lr: 0.100000
2023-04-05 22:41:13,845 epoch 6 - iter 1590/2650 - loss 0.09267584 - time (sec): 100.16 - samples/sec: 8752.14 - lr: 0.100000
2023-04-05 22:41:30,455 epoch 6 - iter 1855/2650 - loss 0.09249957 - time (sec): 116.77 - samples/sec: 8749.03 - lr: 0.100000
2023-04-05 22:41:47,703 epoch 6 - iter 2120/2650 - loss 0.09226697 - time (sec): 134.02 - samples/sec: 8726.47 - lr: 0.100000
2023-04-05 22:42:04,641 epoch 6 - iter 2385/2650 - loss 0.09236244 - time (sec): 150.95 - samples/sec: 8722.35 - lr: 0.100000
2023-04-05 22:42:34,095 epoch 6 - iter 2650/2650 - loss 0.09239453 - time (sec): 180.41 - samples/sec: 8105.80 - lr: 0.100000
2023-04-05 22:42:34,096 ----------------------------------------------------------------------------------------------------
2023-04-05 22:42:34,096 EPOCH 6 done: loss 0.0924 - lr 0.100000
2023-04-05 22:42:34,096 BAD EPOCHS (no improvement): 0
2023-04-05 22:42:34,099 ----------------------------------------------------------------------------------------------------
2023-04-05 22:42:50,878 epoch 7 - iter 265/2650 - loss 0.08873254 - time (sec): 16.78 - samples/sec: 8771.82 - lr: 0.100000
2023-04-05 22:43:07,449 epoch 7 - iter 530/2650 - loss 0.08960326 - time (sec): 33.35 - samples/sec: 8777.88 - lr: 0.100000
2023-04-05 22:43:23,594 epoch 7 - iter 795/2650 - loss 0.08932424 - time (sec): 49.50 - samples/sec: 8851.50 - lr: 0.100000
2023-04-05 22:43:40,490 epoch 7 - iter 1060/2650 - loss 0.08982534 - time (sec): 66.39 - samples/sec: 8813.80 - lr: 0.100000
2023-04-05 22:43:57,449 epoch 7 - iter 1325/2650 - loss 0.09029873 - time (sec): 83.35 - samples/sec: 8771.93 - lr: 0.100000
2023-04-05 22:44:14,416 epoch 7 - iter 1590/2650 - loss 0.09040100 - time (sec): 100.32 - samples/sec: 8753.35 - lr: 0.100000
2023-04-05 22:44:31,321 epoch 7 - iter 1855/2650 - loss 0.09038702 - time (sec): 117.22 - samples/sec: 8734.42 - lr: 0.100000
2023-04-05 22:44:48,329 epoch 7 - iter 2120/2650 - loss 0.09030666 - time (sec): 134.23 - samples/sec: 8717.25 - lr: 0.100000
2023-04-05 22:45:05,130 epoch 7 - iter 2385/2650 - loss 0.09020660 - time (sec): 151.03 - samples/sec: 8715.73 - lr: 0.100000
2023-04-05 22:45:21,388 epoch 7 - iter 2650/2650 - loss 0.09029893 - time (sec): 167.29 - samples/sec: 8741.52 - lr: 0.100000
2023-04-05 22:45:21,388 ----------------------------------------------------------------------------------------------------
2023-04-05 22:45:21,388 EPOCH 7 done: loss 0.0903 - lr 0.100000
2023-04-05 22:45:21,388 BAD EPOCHS (no improvement): 0
2023-04-05 22:45:21,391 ----------------------------------------------------------------------------------------------------
2023-04-05 22:45:37,992 epoch 8 - iter 265/2650 - loss 0.08836754 - time (sec): 16.60 - samples/sec: 8866.87 - lr: 0.100000
2023-04-05 22:45:54,559 epoch 8 - iter 530/2650 - loss 0.08810836 - time (sec): 33.17 - samples/sec: 8883.36 - lr: 0.100000
2023-04-05 22:46:10,813 epoch 8 - iter 795/2650 - loss 0.08787790 - time (sec): 49.42 - samples/sec: 8893.16 - lr: 0.100000
2023-04-05 22:46:26,984 epoch 8 - iter 1060/2650 - loss 0.08804939 - time (sec): 65.59 - samples/sec: 8904.37 - lr: 0.100000
2023-04-05 22:46:43,559 epoch 8 - iter 1325/2650 - loss 0.08787215 - time (sec): 82.17 - samples/sec: 8887.86 - lr: 0.100000
2023-04-05 22:46:59,857 epoch 8 - iter 1590/2650 - loss 0.08777072 - time (sec): 98.47 - samples/sec: 8903.28 - lr: 0.100000
2023-04-05 22:47:16,067 epoch 8 - iter 1855/2650 - loss 0.08812630 - time (sec): 114.68 - samples/sec: 8915.24 - lr: 0.100000
2023-04-05 22:47:32,947 epoch 8 - iter 2120/2650 - loss 0.08789197 - time (sec): 131.56 - samples/sec: 8891.61 - lr: 0.100000
2023-04-05 22:47:49,211 epoch 8 - iter 2385/2650 - loss 0.08797653 - time (sec): 147.82 - samples/sec: 8907.42 - lr: 0.100000
2023-04-05 22:48:05,910 epoch 8 - iter 2650/2650 - loss 0.08808803 - time (sec): 164.52 - samples/sec: 8888.71 - lr: 0.100000
2023-04-05 22:48:05,911 ----------------------------------------------------------------------------------------------------
2023-04-05 22:48:05,911 EPOCH 8 done: loss 0.0881 - lr 0.100000
2023-04-05 22:48:05,911 BAD EPOCHS (no improvement): 0
2023-04-05 22:48:05,914 ----------------------------------------------------------------------------------------------------
2023-04-05 22:48:22,427 epoch 9 - iter 265/2650 - loss 0.08373644 - time (sec): 16.51 - samples/sec: 8838.45 - lr: 0.100000
2023-04-05 22:48:39,166 epoch 9 - iter 530/2650 - loss 0.08641671 - time (sec): 33.25 - samples/sec: 8799.59 - lr: 0.100000
2023-04-05 22:48:55,610 epoch 9 - iter 795/2650 - loss 0.08513086 - time (sec): 49.70 - samples/sec: 8808.24 - lr: 0.100000
2023-04-05 22:49:12,224 epoch 9 - iter 1060/2650 - loss 0.08507506 - time (sec): 66.31 - samples/sec: 8837.16 - lr: 0.100000
2023-04-05 22:49:28,748 epoch 9 - iter 1325/2650 - loss 0.08539154 - time (sec): 82.83 - samples/sec: 8843.43 - lr: 0.100000
2023-04-05 22:49:44,930 epoch 9 - iter 1590/2650 - loss 0.08578095 - time (sec): 99.02 - samples/sec: 8859.15 - lr: 0.100000
2023-04-05 22:50:01,432 epoch 9 - iter 1855/2650 - loss 0.08593361 - time (sec): 115.52 - samples/sec: 8862.49 - lr: 0.100000
2023-04-05 22:50:17,591 epoch 9 - iter 2120/2650 - loss 0.08604780 - time (sec): 131.68 - samples/sec: 8884.34 - lr: 0.100000
2023-04-05 22:50:34,287 epoch 9 - iter 2385/2650 - loss 0.08612608 - time (sec): 148.37 - samples/sec: 8873.03 - lr: 0.100000
2023-04-05 22:50:50,507 epoch 9 - iter 2650/2650 - loss 0.08594275 - time (sec): 164.59 - samples/sec: 8884.70 - lr: 0.100000
2023-04-05 22:50:50,507 ----------------------------------------------------------------------------------------------------
2023-04-05 22:50:50,507 EPOCH 9 done: loss 0.0859 - lr 0.100000
2023-04-05 22:50:50,507 BAD EPOCHS (no improvement): 0
2023-04-05 22:50:50,510 ----------------------------------------------------------------------------------------------------
2023-04-05 22:51:06,868 epoch 10 - iter 265/2650 - loss 0.08376613 - time (sec): 16.36 - samples/sec: 8939.93 - lr: 0.100000
2023-04-05 22:51:23,970 epoch 10 - iter 530/2650 - loss 0.08500207 - time (sec): 33.46 - samples/sec: 8715.41 - lr: 0.100000
2023-04-05 22:51:40,601 epoch 10 - iter 795/2650 - loss 0.08404760 - time (sec): 50.09 - samples/sec: 8742.59 - lr: 0.100000
2023-04-05 22:51:57,489 epoch 10 - iter 1060/2650 - loss 0.08422722 - time (sec): 66.98 - samples/sec: 8726.57 - lr: 0.100000
2023-04-05 22:52:14,095 epoch 10 - iter 1325/2650 - loss 0.08421348 - time (sec): 83.58 - samples/sec: 8742.87 - lr: 0.100000
2023-04-05 22:52:30,593 epoch 10 - iter 1590/2650 - loss 0.08454778 - time (sec): 100.08 - samples/sec: 8774.21 - lr: 0.100000
2023-04-05 22:52:47,395 epoch 10 - iter 1855/2650 - loss 0.08479045 - time (sec): 116.88 - samples/sec: 8780.67 - lr: 0.100000
2023-04-05 22:53:03,784 epoch 10 - iter 2120/2650 - loss 0.08481922 - time (sec): 133.27 - samples/sec: 8792.75 - lr: 0.100000
2023-04-05 22:53:20,228 epoch 10 - iter 2385/2650 - loss 0.08496971 - time (sec): 149.72 - samples/sec: 8809.31 - lr: 0.100000
2023-04-05 22:53:36,223 epoch 10 - iter 2650/2650 - loss 0.08495942 - time (sec): 165.71 - samples/sec: 8824.69 - lr: 0.100000
2023-04-05 22:53:36,223 ----------------------------------------------------------------------------------------------------
2023-04-05 22:53:36,223 EPOCH 10 done: loss 0.0850 - lr 0.100000
2023-04-05 22:53:36,223 BAD EPOCHS (no improvement): 0
2023-04-05 22:53:36,226 ----------------------------------------------------------------------------------------------------
2023-04-05 22:53:52,663 epoch 11 - iter 265/2650 - loss 0.08415726 - time (sec): 16.44 - samples/sec: 8929.86 - lr: 0.100000
2023-04-05 22:54:08,757 epoch 11 - iter 530/2650 - loss 0.08391234 - time (sec): 32.53 - samples/sec: 8969.15 - lr: 0.100000
2023-04-05 22:54:25,169 epoch 11 - iter 795/2650 - loss 0.08354798 - time (sec): 48.94 - samples/sec: 8961.75 - lr: 0.100000
2023-04-05 22:54:41,444 epoch 11 - iter 1060/2650 - loss 0.08350953 - time (sec): 65.22 - samples/sec: 8961.42 - lr: 0.100000
2023-04-05 22:54:58,159 epoch 11 - iter 1325/2650 - loss 0.08357779 - time (sec): 81.93 - samples/sec: 8927.51 - lr: 0.100000
2023-04-05 22:55:14,785 epoch 11 - iter 1590/2650 - loss 0.08338774 - time (sec): 98.56 - samples/sec: 8901.45 - lr: 0.100000
2023-04-05 22:55:31,288 epoch 11 - iter 1855/2650 - loss 0.08323676 - time (sec): 115.06 - samples/sec: 8886.81 - lr: 0.100000
2023-04-05 22:55:47,745 epoch 11 - iter 2120/2650 - loss 0.08317480 - time (sec): 131.52 - samples/sec: 8873.66 - lr: 0.100000
2023-04-05 22:56:04,793 epoch 11 - iter 2385/2650 - loss 0.08348412 - time (sec): 148.57 - samples/sec: 8855.82 - lr: 0.100000
2023-04-05 22:56:21,458 epoch 11 - iter 2650/2650 - loss 0.08345337 - time (sec): 165.23 - samples/sec: 8850.37 - lr: 0.100000
2023-04-05 22:56:21,458 ----------------------------------------------------------------------------------------------------
2023-04-05 22:56:21,458 EPOCH 11 done: loss 0.0835 - lr 0.100000
2023-04-05 22:56:21,458 BAD EPOCHS (no improvement): 0
2023-04-05 22:56:21,461 ----------------------------------------------------------------------------------------------------
2023-04-05 22:56:38,501 epoch 12 - iter 265/2650 - loss 0.08300132 - time (sec): 17.04 - samples/sec: 8633.98 - lr: 0.100000
2023-04-05 22:56:55,185 epoch 12 - iter 530/2650 - loss 0.08226832 - time (sec): 33.72 - samples/sec: 8658.55 - lr: 0.100000
2023-04-05 22:57:11,821 epoch 12 - iter 795/2650 - loss 0.08163192 - time (sec): 50.36 - samples/sec: 8714.32 - lr: 0.100000
2023-04-05 22:57:28,041 epoch 12 - iter 1060/2650 - loss 0.08208359 - time (sec): 66.58 - samples/sec: 8747.02 - lr: 0.100000
2023-04-05 22:57:44,719 epoch 12 - iter 1325/2650 - loss 0.08210391 - time (sec): 83.26 - samples/sec: 8750.85 - lr: 0.100000
2023-04-05 22:58:01,167 epoch 12 - iter 1590/2650 - loss 0.08216670 - time (sec): 99.71 - samples/sec: 8776.73 - lr: 0.100000
2023-04-05 22:58:18,005 epoch 12 - iter 1855/2650 - loss 0.08197720 - time (sec): 116.54 - samples/sec: 8770.11 - lr: 0.100000
2023-04-05 22:58:35,049 epoch 12 - iter 2120/2650 - loss 0.08214032 - time (sec): 133.59 - samples/sec: 8749.84 - lr: 0.100000
2023-04-05 22:58:52,163 epoch 12 - iter 2385/2650 - loss 0.08227106 - time (sec): 150.70 - samples/sec: 8734.19 - lr: 0.100000
2023-04-05 22:59:09,140 epoch 12 - iter 2650/2650 - loss 0.08250147 - time (sec): 167.68 - samples/sec: 8721.18 - lr: 0.100000
2023-04-05 22:59:09,141 ----------------------------------------------------------------------------------------------------
2023-04-05 22:59:09,141 EPOCH 12 done: loss 0.0825 - lr 0.100000
2023-04-05 22:59:09,141 BAD EPOCHS (no improvement): 0
2023-04-05 22:59:09,143 ----------------------------------------------------------------------------------------------------
2023-04-05 22:59:25,450 epoch 13 - iter 265/2650 - loss 0.08157889 - time (sec): 16.31 - samples/sec: 8939.19 - lr: 0.100000
2023-04-05 22:59:42,269 epoch 13 - iter 530/2650 - loss 0.08208208 - time (sec): 33.13 - samples/sec: 8874.00 - lr: 0.100000
2023-04-05 22:59:59,046 epoch 13 - iter 795/2650 - loss 0.08232640 - time (sec): 49.90 - samples/sec: 8820.33 - lr: 0.100000
2023-04-05 23:00:15,621 epoch 13 - iter 1060/2650 - loss 0.08197520 - time (sec): 66.48 - samples/sec: 8809.71 - lr: 0.100000
2023-04-05 23:00:32,262 epoch 13 - iter 1325/2650 - loss 0.08232786 - time (sec): 83.12 - samples/sec: 8816.89 - lr: 0.100000
2023-04-05 23:00:48,692 epoch 13 - iter 1590/2650 - loss 0.08232857 - time (sec): 99.55 - samples/sec: 8841.63 - lr: 0.100000
2023-04-05 23:01:05,301 epoch 13 - iter 1855/2650 - loss 0.08227194 - time (sec): 116.16 - samples/sec: 8833.75 - lr: 0.100000
2023-04-05 23:01:21,581 epoch 13 - iter 2120/2650 - loss 0.08240306 - time (sec): 132.44 - samples/sec: 8847.30 - lr: 0.100000
2023-04-05 23:01:37,978 epoch 13 - iter 2385/2650 - loss 0.08231981 - time (sec): 148.83 - samples/sec: 8849.11 - lr: 0.100000
2023-04-05 23:01:54,565 epoch 13 - iter 2650/2650 - loss 0.08191489 - time (sec): 165.42 - samples/sec: 8840.22 - lr: 0.100000
2023-04-05 23:01:54,565 ----------------------------------------------------------------------------------------------------
2023-04-05 23:01:54,565 EPOCH 13 done: loss 0.0819 - lr 0.100000
2023-04-05 23:01:54,565 BAD EPOCHS (no improvement): 0
2023-04-05 23:01:54,569 ----------------------------------------------------------------------------------------------------
2023-04-05 23:02:11,030 epoch 14 - iter 265/2650 - loss 0.07826091 - time (sec): 16.46 - samples/sec: 8928.69 - lr: 0.100000
2023-04-05 23:02:27,543 epoch 14 - iter 530/2650 - loss 0.08015460 - time (sec): 32.97 - samples/sec: 8873.91 - lr: 0.100000
2023-04-05 23:02:43,818 epoch 14 - iter 795/2650 - loss 0.08002093 - time (sec): 49.25 - samples/sec: 8908.75 - lr: 0.100000
2023-04-05 23:03:00,215 epoch 14 - iter 1060/2650 - loss 0.07984409 - time (sec): 65.65 - samples/sec: 8925.93 - lr: 0.100000
2023-04-05 23:03:16,652 epoch 14 - iter 1325/2650 - loss 0.08037077 - time (sec): 82.08 - samples/sec: 8938.53 - lr: 0.100000
2023-04-05 23:03:33,179 epoch 14 - iter 1590/2650 - loss 0.08050398 - time (sec): 98.61 - samples/sec: 8886.47 - lr: 0.100000
2023-04-05 23:03:50,727 epoch 14 - iter 1855/2650 - loss 0.08023336 - time (sec): 116.16 - samples/sec: 8801.19 - lr: 0.100000
2023-04-05 23:04:07,885 epoch 14 - iter 2120/2650 - loss 0.08016453 - time (sec): 133.32 - samples/sec: 8779.28 - lr: 0.100000
2023-04-05 23:04:25,008 epoch 14 - iter 2385/2650 - loss 0.08029596 - time (sec): 150.44 - samples/sec: 8746.69 - lr: 0.100000
2023-04-05 23:04:42,354 epoch 14 - iter 2650/2650 - loss 0.08059522 - time (sec): 167.78 - samples/sec: 8715.72 - lr: 0.100000
2023-04-05 23:04:42,354 ----------------------------------------------------------------------------------------------------
2023-04-05 23:04:42,354 EPOCH 14 done: loss 0.0806 - lr 0.100000
2023-04-05 23:04:42,354 BAD EPOCHS (no improvement): 0
2023-04-05 23:04:42,358 ----------------------------------------------------------------------------------------------------
2023-04-05 23:04:58,919 epoch 15 - iter 265/2650 - loss 0.08049915 - time (sec): 16.56 - samples/sec: 8788.15 - lr: 0.100000
2023-04-05 23:05:15,559 epoch 15 - iter 530/2650 - loss 0.07906896 - time (sec): 33.20 - samples/sec: 8856.02 - lr: 0.100000
2023-04-05 23:05:32,417 epoch 15 - iter 795/2650 - loss 0.07904717 - time (sec): 50.06 - samples/sec: 8782.24 - lr: 0.100000
2023-04-05 23:05:49,650 epoch 15 - iter 1060/2650 - loss 0.07961652 - time (sec): 67.29 - samples/sec: 8727.62 - lr: 0.100000
2023-04-05 23:06:06,849 epoch 15 - iter 1325/2650 - loss 0.07994138 - time (sec): 84.49 - samples/sec: 8686.68 - lr: 0.100000
2023-04-05 23:06:23,800 epoch 15 - iter 1590/2650 - loss 0.07978164 - time (sec): 101.44 - samples/sec: 8680.64 - lr: 0.100000
2023-04-05 23:06:40,925 epoch 15 - iter 1855/2650 - loss 0.07982886 - time (sec): 118.57 - samples/sec: 8651.84 - lr: 0.100000
2023-04-05 23:06:57,906 epoch 15 - iter 2120/2650 - loss 0.07986364 - time (sec): 135.55 - samples/sec: 8650.67 - lr: 0.100000
2023-04-05 23:07:14,738 epoch 15 - iter 2385/2650 - loss 0.07992371 - time (sec): 152.38 - samples/sec: 8640.94 - lr: 0.100000
2023-04-05 23:07:31,652 epoch 15 - iter 2650/2650 - loss 0.07996465 - time (sec): 169.29 - samples/sec: 8637.99 - lr: 0.100000
2023-04-05 23:07:31,652 ----------------------------------------------------------------------------------------------------
2023-04-05 23:07:31,652 EPOCH 15 done: loss 0.0800 - lr 0.100000
2023-04-05 23:07:31,652 BAD EPOCHS (no improvement): 0
2023-04-05 23:07:31,656 ----------------------------------------------------------------------------------------------------
2023-04-05 23:07:48,349 epoch 16 - iter 265/2650 - loss 0.07959218 - time (sec): 16.69 - samples/sec: 8758.79 - lr: 0.100000
2023-04-05 23:08:04,842 epoch 16 - iter 530/2650 - loss 0.07916640 - time (sec): 33.19 - samples/sec: 8772.66 - lr: 0.100000
2023-04-05 23:08:21,394 epoch 16 - iter 795/2650 - loss 0.07905999 - time (sec): 49.74 - samples/sec: 8811.83 - lr: 0.100000
2023-04-05 23:08:37,648 epoch 16 - iter 1060/2650 - loss 0.07931926 - time (sec): 65.99 - samples/sec: 8873.74 - lr: 0.100000
2023-04-05 23:08:53,495 epoch 16 - iter 1325/2650 - loss 0.07903456 - time (sec): 81.84 - samples/sec: 8943.26 - lr: 0.100000
2023-04-05 23:09:09,716 epoch 16 - iter 1590/2650 - loss 0.07912116 - time (sec): 98.06 - samples/sec: 8949.84 - lr: 0.100000
2023-04-05 23:09:26,000 epoch 16 - iter 1855/2650 - loss 0.07914201 - time (sec): 114.34 - samples/sec: 8959.71 - lr: 0.100000
2023-04-05 23:09:42,554 epoch 16 - iter 2120/2650 - loss 0.07933062 - time (sec): 130.90 - samples/sec: 8947.60 - lr: 0.100000
2023-04-05 23:09:58,591 epoch 16 - iter 2385/2650 - loss 0.07932668 - time (sec): 146.94 - samples/sec: 8950.58 - lr: 0.100000
2023-04-05 23:10:14,979 epoch 16 - iter 2650/2650 - loss 0.07952090 - time (sec): 163.32 - samples/sec: 8953.83 - lr: 0.100000
2023-04-05 23:10:14,979 ----------------------------------------------------------------------------------------------------
2023-04-05 23:10:14,979 EPOCH 16 done: loss 0.0795 - lr 0.100000
2023-04-05 23:10:14,979 BAD EPOCHS (no improvement): 0
2023-04-05 23:10:14,982 ----------------------------------------------------------------------------------------------------
2023-04-05 23:10:31,694 epoch 17 - iter 265/2650 - loss 0.07684016 - time (sec): 16.71 - samples/sec: 8740.66 - lr: 0.100000
2023-04-05 23:10:47,789 epoch 17 - iter 530/2650 - loss 0.07745329 - time (sec): 32.81 - samples/sec: 8894.02 - lr: 0.100000
2023-04-05 23:11:04,100 epoch 17 - iter 795/2650 - loss 0.07798892 - time (sec): 49.12 - samples/sec: 8919.07 - lr: 0.100000
2023-04-05 23:11:20,421 epoch 17 - iter 1060/2650 - loss 0.07748701 - time (sec): 65.44 - samples/sec: 8918.11 - lr: 0.100000
2023-04-05 23:11:36,541 epoch 17 - iter 1325/2650 - loss 0.07752075 - time (sec): 81.56 - samples/sec: 8946.44 - lr: 0.100000
2023-04-05 23:11:52,846 epoch 17 - iter 1590/2650 - loss 0.07764060 - time (sec): 97.86 - samples/sec: 8944.97 - lr: 0.100000
2023-04-05 23:12:09,409 epoch 17 - iter 1855/2650 - loss 0.07781739 - time (sec): 114.43 - samples/sec: 8945.96 - lr: 0.100000
2023-04-05 23:12:25,648 epoch 17 - iter 2120/2650 - loss 0.07800386 - time (sec): 130.67 - samples/sec: 8949.15 - lr: 0.100000
2023-04-05 23:12:41,665 epoch 17 - iter 2385/2650 - loss 0.07823223 - time (sec): 146.68 - samples/sec: 8971.47 - lr: 0.100000
2023-04-05 23:12:57,663 epoch 17 - iter 2650/2650 - loss 0.07835599 - time (sec): 162.68 - samples/sec: 8989.11 - lr: 0.100000
2023-04-05 23:12:57,664 ----------------------------------------------------------------------------------------------------
2023-04-05 23:12:57,664 EPOCH 17 done: loss 0.0784 - lr 0.100000
2023-04-05 23:12:57,664 BAD EPOCHS (no improvement): 0
2023-04-05 23:12:57,667 ----------------------------------------------------------------------------------------------------
2023-04-05 23:13:13,941 epoch 18 - iter 265/2650 - loss 0.07895053 - time (sec): 16.27 - samples/sec: 9079.47 - lr: 0.100000
2023-04-05 23:13:30,631 epoch 18 - iter 530/2650 - loss 0.07797757 - time (sec): 32.96 - samples/sec: 8942.97 - lr: 0.100000
2023-04-05 23:13:46,679 epoch 18 - iter 795/2650 - loss 0.07773419 - time (sec): 49.01 - samples/sec: 8974.00 - lr: 0.100000
2023-04-05 23:14:02,818 epoch 18 - iter 1060/2650 - loss 0.07703324 - time (sec): 65.15 - samples/sec: 8987.80 - lr: 0.100000
2023-04-05 23:14:18,997 epoch 18 - iter 1325/2650 - loss 0.07721910 - time (sec): 81.33 - samples/sec: 8969.55 - lr: 0.100000
2023-04-05 23:14:35,443 epoch 18 - iter 1590/2650 - loss 0.07726395 - time (sec): 97.78 - samples/sec: 8974.37 - lr: 0.100000
2023-04-05 23:14:51,868 epoch 18 - iter 1855/2650 - loss 0.07722841 - time (sec): 114.20 - samples/sec: 8954.94 - lr: 0.100000
2023-04-05 23:15:08,025 epoch 18 - iter 2120/2650 - loss 0.07732392 - time (sec): 130.36 - samples/sec: 8981.28 - lr: 0.100000
2023-04-05 23:15:24,168 epoch 18 - iter 2385/2650 - loss 0.07731022 - time (sec): 146.50 - samples/sec: 8982.56 - lr: 0.100000
2023-04-05 23:15:40,457 epoch 18 - iter 2650/2650 - loss 0.07754696 - time (sec): 162.79 - samples/sec: 8983.11 - lr: 0.100000
2023-04-05 23:15:40,457 ----------------------------------------------------------------------------------------------------
2023-04-05 23:15:40,457 EPOCH 18 done: loss 0.0775 - lr 0.100000
2023-04-05 23:15:40,458 BAD EPOCHS (no improvement): 0
2023-04-05 23:15:40,461 ----------------------------------------------------------------------------------------------------
2023-04-05 23:15:56,857 epoch 19 - iter 265/2650 - loss 0.07592246 - time (sec): 16.40 - samples/sec: 8849.81 - lr: 0.100000
2023-04-05 23:16:13,066 epoch 19 - iter 530/2650 - loss 0.07625821 - time (sec): 32.61 - samples/sec: 8939.78 - lr: 0.100000
2023-04-05 23:16:29,489 epoch 19 - iter 795/2650 - loss 0.07673455 - time (sec): 49.03 - samples/sec: 8961.74 - lr: 0.100000
2023-04-05 23:16:45,584 epoch 19 - iter 1060/2650 - loss 0.07680441 - time (sec): 65.12 - samples/sec: 8964.12 - lr: 0.100000
2023-04-05 23:17:01,865 epoch 19 - iter 1325/2650 - loss 0.07723583 - time (sec): 81.40 - samples/sec: 8989.23 - lr: 0.100000
2023-04-05 23:17:18,196 epoch 19 - iter 1590/2650 - loss 0.07742784 - time (sec): 97.73 - samples/sec: 8988.41 - lr: 0.100000
2023-04-05 23:17:34,710 epoch 19 - iter 1855/2650 - loss 0.07742703 - time (sec): 114.25 - samples/sec: 8982.18 - lr: 0.100000
2023-04-05 23:17:50,953 epoch 19 - iter 2120/2650 - loss 0.07734183 - time (sec): 130.49 - samples/sec: 8983.05 - lr: 0.100000
2023-04-05 23:18:07,339 epoch 19 - iter 2385/2650 - loss 0.07730777 - time (sec): 146.88 - samples/sec: 8984.61 - lr: 0.100000
2023-04-05 23:18:23,251 epoch 19 - iter 2650/2650 - loss 0.07738912 - time (sec): 162.79 - samples/sec: 8983.14 - lr: 0.100000
2023-04-05 23:18:23,251 ----------------------------------------------------------------------------------------------------
2023-04-05 23:18:23,251 EPOCH 19 done: loss 0.0774 - lr 0.100000
2023-04-05 23:18:23,251 BAD EPOCHS (no improvement): 0
2023-04-05 23:18:23,254 ----------------------------------------------------------------------------------------------------
2023-04-05 23:18:39,821 epoch 20 - iter 265/2650 - loss 0.07297929 - time (sec): 16.57 - samples/sec: 8965.88 - lr: 0.100000
2023-04-05 23:18:56,637 epoch 20 - iter 530/2650 - loss 0.07406229 - time (sec): 33.38 - samples/sec: 8815.18 - lr: 0.100000
2023-04-05 23:19:13,109 epoch 20 - iter 795/2650 - loss 0.07483644 - time (sec): 49.85 - samples/sec: 8848.60 - lr: 0.100000
2023-04-05 23:19:29,637 epoch 20 - iter 1060/2650 - loss 0.07519861 - time (sec): 66.38 - samples/sec: 8847.11 - lr: 0.100000
2023-04-05 23:19:46,269 epoch 20 - iter 1325/2650 - loss 0.07612818 - time (sec): 83.02 - samples/sec: 8828.14 - lr: 0.100000
2023-04-05 23:20:02,661 epoch 20 - iter 1590/2650 - loss 0.07641200 - time (sec): 99.41 - samples/sec: 8847.28 - lr: 0.100000
2023-04-05 23:20:18,782 epoch 20 - iter 1855/2650 - loss 0.07663621 - time (sec): 115.53 - samples/sec: 8875.37 - lr: 0.100000
2023-04-05 23:20:34,951 epoch 20 - iter 2120/2650 - loss 0.07687311 - time (sec): 131.70 - samples/sec: 8893.32 - lr: 0.100000
2023-04-05 23:20:51,567 epoch 20 - iter 2385/2650 - loss 0.07680128 - time (sec): 148.31 - samples/sec: 8887.46 - lr: 0.100000
2023-04-05 23:21:07,929 epoch 20 - iter 2650/2650 - loss 0.07670700 - time (sec): 164.67 - samples/sec: 8880.31 - lr: 0.100000
2023-04-05 23:21:07,929 ----------------------------------------------------------------------------------------------------
2023-04-05 23:21:07,929 EPOCH 20 done: loss 0.0767 - lr 0.100000
2023-04-05 23:21:07,929 BAD EPOCHS (no improvement): 0
2023-04-05 23:21:07,932 ----------------------------------------------------------------------------------------------------
2023-04-05 23:21:24,434 epoch 21 - iter 265/2650 - loss 0.07532646 - time (sec): 16.50 - samples/sec: 8798.30 - lr: 0.100000
2023-04-05 23:21:40,960 epoch 21 - iter 530/2650 - loss 0.07436115 - time (sec): 33.03 - samples/sec: 8793.72 - lr: 0.100000
2023-04-05 23:21:58,189 epoch 21 - iter 795/2650 - loss 0.07472844 - time (sec): 50.26 - samples/sec: 8705.65 - lr: 0.100000
2023-04-05 23:22:15,295 epoch 21 - iter 1060/2650 - loss 0.07500223 - time (sec): 67.36 - samples/sec: 8668.97 - lr: 0.100000
2023-04-05 23:22:32,560 epoch 21 - iter 1325/2650 - loss 0.07554060 - time (sec): 84.63 - samples/sec: 8641.28 - lr: 0.100000
2023-04-05 23:22:49,535 epoch 21 - iter 1590/2650 - loss 0.07580067 - time (sec): 101.60 - samples/sec: 8630.33 - lr: 0.100000
2023-04-05 23:23:06,936 epoch 21 - iter 1855/2650 - loss 0.07602367 - time (sec): 119.00 - samples/sec: 8597.73 - lr: 0.100000
2023-04-05 23:23:23,644 epoch 21 - iter 2120/2650 - loss 0.07602345 - time (sec): 135.71 - samples/sec: 8614.06 - lr: 0.100000
2023-04-05 23:23:40,564 epoch 21 - iter 2385/2650 - loss 0.07593114 - time (sec): 152.63 - samples/sec: 8612.67 - lr: 0.100000
2023-04-05 23:23:57,551 epoch 21 - iter 2650/2650 - loss 0.07616964 - time (sec): 169.62 - samples/sec: 8621.48 - lr: 0.100000
2023-04-05 23:23:57,551 ----------------------------------------------------------------------------------------------------
2023-04-05 23:23:57,551 EPOCH 21 done: loss 0.0762 - lr 0.100000
2023-04-05 23:23:57,551 BAD EPOCHS (no improvement): 0
2023-04-05 23:23:57,554 ----------------------------------------------------------------------------------------------------
2023-04-05 23:24:14,529 epoch 22 - iter 265/2650 - loss 0.07354760 - time (sec): 16.97 - samples/sec: 8664.45 - lr: 0.100000
2023-04-05 23:24:31,263 epoch 22 - iter 530/2650 - loss 0.07421589 - time (sec): 33.71 - samples/sec: 8672.30 - lr: 0.100000
2023-04-05 23:24:48,242 epoch 22 - iter 795/2650 - loss 0.07450078 - time (sec): 50.69 - samples/sec: 8679.83 - lr: 0.100000
2023-04-05 23:25:04,889 epoch 22 - iter 1060/2650 - loss 0.07538690 - time (sec): 67.33 - samples/sec: 8680.72 - lr: 0.100000
2023-04-05 23:25:21,914 epoch 22 - iter 1325/2650 - loss 0.07529429 - time (sec): 84.36 - samples/sec: 8673.63 - lr: 0.100000
2023-04-05 23:25:38,811 epoch 22 - iter 1590/2650 - loss 0.07535091 - time (sec): 101.26 - samples/sec: 8668.27 - lr: 0.100000
2023-04-05 23:25:55,509 epoch 22 - iter 1855/2650 - loss 0.07519621 - time (sec): 117.96 - samples/sec: 8671.91 - lr: 0.100000
2023-04-05 23:26:12,325 epoch 22 - iter 2120/2650 - loss 0.07507754 - time (sec): 134.77 - samples/sec: 8679.92 - lr: 0.100000
2023-04-05 23:26:29,197 epoch 22 - iter 2385/2650 - loss 0.07551540 - time (sec): 151.64 - samples/sec: 8668.88 - lr: 0.100000
2023-04-05 23:26:46,333 epoch 22 - iter 2650/2650 - loss 0.07567163 - time (sec): 168.78 - samples/sec: 8664.36 - lr: 0.100000
2023-04-05 23:26:46,333 ----------------------------------------------------------------------------------------------------
2023-04-05 23:26:46,334 EPOCH 22 done: loss 0.0757 - lr 0.100000
2023-04-05 23:26:46,334 BAD EPOCHS (no improvement): 0
2023-04-05 23:26:46,337 ----------------------------------------------------------------------------------------------------
2023-04-05 23:27:03,305 epoch 23 - iter 265/2650 - loss 0.07302187 - time (sec): 16.97 - samples/sec: 8666.89 - lr: 0.100000
2023-04-05 23:27:19,361 epoch 23 - iter 530/2650 - loss 0.07299191 - time (sec): 33.02 - samples/sec: 8829.50 - lr: 0.100000
2023-04-05 23:27:36,321 epoch 23 - iter 795/2650 - loss 0.07378251 - time (sec): 49.98 - samples/sec: 8753.13 - lr: 0.100000
2023-04-05 23:27:52,741 epoch 23 - iter 1060/2650 - loss 0.07420865 - time (sec): 66.40 - samples/sec: 8766.81 - lr: 0.100000
2023-04-05 23:28:09,342 epoch 23 - iter 1325/2650 - loss 0.07425780 - time (sec): 83.01 - samples/sec: 8772.29 - lr: 0.100000
2023-04-05 23:28:26,297 epoch 23 - iter 1590/2650 - loss 0.07432033 - time (sec): 99.96 - samples/sec: 8758.13 - lr: 0.100000
2023-04-05 23:28:43,239 epoch 23 - iter 1855/2650 - loss 0.07465214 - time (sec): 116.90 - samples/sec: 8753.66 - lr: 0.100000
2023-04-05 23:28:59,595 epoch 23 - iter 2120/2650 - loss 0.07496607 - time (sec): 133.26 - samples/sec: 8783.61 - lr: 0.100000
2023-04-05 23:29:16,192 epoch 23 - iter 2385/2650 - loss 0.07500821 - time (sec): 149.86 - samples/sec: 8792.80 - lr: 0.100000
2023-04-05 23:29:32,223 epoch 23 - iter 2650/2650 - loss 0.07496415 - time (sec): 165.89 - samples/sec: 8815.43 - lr: 0.100000
2023-04-05 23:29:32,224 ----------------------------------------------------------------------------------------------------
2023-04-05 23:29:32,224 EPOCH 23 done: loss 0.0750 - lr 0.100000
2023-04-05 23:29:32,224 BAD EPOCHS (no improvement): 0
2023-04-05 23:29:32,227 ----------------------------------------------------------------------------------------------------
2023-04-05 23:29:48,824 epoch 24 - iter 265/2650 - loss 0.07162298 - time (sec): 16.60 - samples/sec: 8807.85 - lr: 0.100000
2023-04-05 23:30:05,085 epoch 24 - iter 530/2650 - loss 0.07254532 - time (sec): 32.86 - samples/sec: 8922.21 - lr: 0.100000
2023-04-05 23:30:21,362 epoch 24 - iter 795/2650 - loss 0.07347829 - time (sec): 49.14 - samples/sec: 8946.59 - lr: 0.100000
2023-04-05 23:30:38,149 epoch 24 - iter 1060/2650 - loss 0.07333841 - time (sec): 65.92 - samples/sec: 8899.64 - lr: 0.100000
2023-04-05 23:30:54,038 epoch 24 - iter 1325/2650 - loss 0.07401384 - time (sec): 81.81 - samples/sec: 8939.22 - lr: 0.100000
2023-04-05 23:31:10,151 epoch 24 - iter 1590/2650 - loss 0.07425781 - time (sec): 97.92 - samples/sec: 8942.98 - lr: 0.100000
2023-04-05 23:31:26,796 epoch 24 - iter 1855/2650 - loss 0.07441304 - time (sec): 114.57 - samples/sec: 8919.35 - lr: 0.100000
2023-04-05 23:31:42,968 epoch 24 - iter 2120/2650 - loss 0.07482721 - time (sec): 130.74 - samples/sec: 8933.73 - lr: 0.100000
2023-04-05 23:31:59,730 epoch 24 - iter 2385/2650 - loss 0.07498952 - time (sec): 147.50 - samples/sec: 8924.85 - lr: 0.100000
2023-04-05 23:32:15,921 epoch 24 - iter 2650/2650 - loss 0.07520706 - time (sec): 163.69 - samples/sec: 8933.51 - lr: 0.100000
2023-04-05 23:32:15,921 ----------------------------------------------------------------------------------------------------
2023-04-05 23:32:15,921 EPOCH 24 done: loss 0.0752 - lr 0.100000
2023-04-05 23:32:15,921 BAD EPOCHS (no improvement): 1
2023-04-05 23:32:15,968 ----------------------------------------------------------------------------------------------------
2023-04-05 23:32:32,575 epoch 25 - iter 265/2650 - loss 0.07570378 - time (sec): 16.61 - samples/sec: 8792.17 - lr: 0.100000
2023-04-05 23:32:48,978 epoch 25 - iter 530/2650 - loss 0.07505366 - time (sec): 33.01 - samples/sec: 8834.34 - lr: 0.100000
2023-04-05 23:33:05,144 epoch 25 - iter 795/2650 - loss 0.07462733 - time (sec): 49.18 - samples/sec: 8905.74 - lr: 0.100000
2023-04-05 23:33:21,593 epoch 25 - iter 1060/2650 - loss 0.07467373 - time (sec): 65.63 - samples/sec: 8900.97 - lr: 0.100000
2023-04-05 23:33:37,681 epoch 25 - iter 1325/2650 - loss 0.07468342 - time (sec): 81.71 - samples/sec: 8922.35 - lr: 0.100000
2023-04-05 23:33:54,046 epoch 25 - iter 1590/2650 - loss 0.07506873 - time (sec): 98.08 - samples/sec: 8916.70 - lr: 0.100000
2023-04-05 23:34:10,198 epoch 25 - iter 1855/2650 - loss 0.07487375 - time (sec): 114.23 - samples/sec: 8936.41 - lr: 0.100000
2023-04-05 23:34:26,395 epoch 25 - iter 2120/2650 - loss 0.07488799 - time (sec): 130.43 - samples/sec: 8952.02 - lr: 0.100000
2023-04-05 23:34:42,818 epoch 25 - iter 2385/2650 - loss 0.07489595 - time (sec): 146.85 - samples/sec: 8959.53 - lr: 0.100000
2023-04-05 23:34:59,347 epoch 25 - iter 2650/2650 - loss 0.07495735 - time (sec): 163.38 - samples/sec: 8950.74 - lr: 0.100000
2023-04-05 23:34:59,347 ----------------------------------------------------------------------------------------------------
2023-04-05 23:34:59,347 EPOCH 25 done: loss 0.0750 - lr 0.100000
2023-04-05 23:34:59,347 BAD EPOCHS (no improvement): 0
2023-04-05 23:34:59,350 ----------------------------------------------------------------------------------------------------
2023-04-05 23:35:15,556 epoch 26 - iter 265/2650 - loss 0.07329792 - time (sec): 16.21 - samples/sec: 9063.99 - lr: 0.100000
2023-04-05 23:35:31,882 epoch 26 - iter 530/2650 - loss 0.07329480 - time (sec): 32.53 - samples/sec: 9026.90 - lr: 0.100000
2023-04-05 23:35:48,127 epoch 26 - iter 795/2650 - loss 0.07380274 - time (sec): 48.78 - samples/sec: 9006.84 - lr: 0.100000
2023-04-05 23:36:04,483 epoch 26 - iter 1060/2650 - loss 0.07415574 - time (sec): 65.13 - samples/sec: 8999.61 - lr: 0.100000
2023-04-05 23:36:20,801 epoch 26 - iter 1325/2650 - loss 0.07414196 - time (sec): 81.45 - samples/sec: 8990.64 - lr: 0.100000
2023-04-05 23:36:37,260 epoch 26 - iter 1590/2650 - loss 0.07432611 - time (sec): 97.91 - samples/sec: 8971.25 - lr: 0.100000
2023-04-05 23:36:53,349 epoch 26 - iter 1855/2650 - loss 0.07409701 - time (sec): 114.00 - samples/sec: 8963.66 - lr: 0.100000
2023-04-05 23:37:09,991 epoch 26 - iter 2120/2650 - loss 0.07444025 - time (sec): 130.64 - samples/sec: 8946.49 - lr: 0.100000
2023-04-05 23:37:26,278 epoch 26 - iter 2385/2650 - loss 0.07450283 - time (sec): 146.93 - samples/sec: 8949.52 - lr: 0.100000
2023-04-05 23:37:43,317 epoch 26 - iter 2650/2650 - loss 0.07459369 - time (sec): 163.97 - samples/sec: 8918.64 - lr: 0.100000
2023-04-05 23:37:43,317 ----------------------------------------------------------------------------------------------------
2023-04-05 23:37:43,317 EPOCH 26 done: loss 0.0746 - lr 0.100000
2023-04-05 23:37:43,317 BAD EPOCHS (no improvement): 0
2023-04-05 23:37:43,320 ----------------------------------------------------------------------------------------------------
2023-04-05 23:38:00,215 epoch 27 - iter 265/2650 - loss 0.07450795 - time (sec): 16.90 - samples/sec: 8743.48 - lr: 0.100000
2023-04-05 23:38:16,749 epoch 27 - iter 530/2650 - loss 0.07455010 - time (sec): 33.43 - samples/sec: 8717.27 - lr: 0.100000
2023-04-05 23:38:33,406 epoch 27 - iter 795/2650 - loss 0.07502548 - time (sec): 50.09 - samples/sec: 8747.61 - lr: 0.100000
2023-04-05 23:38:50,657 epoch 27 - iter 1060/2650 - loss 0.07470539 - time (sec): 67.34 - samples/sec: 8708.58 - lr: 0.100000
2023-04-05 23:39:07,766 epoch 27 - iter 1325/2650 - loss 0.07442084 - time (sec): 84.45 - samples/sec: 8683.68 - lr: 0.100000
2023-04-05 23:39:24,461 epoch 27 - iter 1590/2650 - loss 0.07451066 - time (sec): 101.14 - samples/sec: 8700.41 - lr: 0.100000
2023-04-05 23:39:40,362 epoch 27 - iter 1855/2650 - loss 0.07474614 - time (sec): 117.04 - samples/sec: 8756.99 - lr: 0.100000
2023-04-05 23:39:56,788 epoch 27 - iter 2120/2650 - loss 0.07462735 - time (sec): 133.47 - samples/sec: 8776.84 - lr: 0.100000
2023-04-05 23:40:13,118 epoch 27 - iter 2385/2650 - loss 0.07464944 - time (sec): 149.80 - samples/sec: 8801.44 - lr: 0.100000
2023-04-05 23:40:29,228 epoch 27 - iter 2650/2650 - loss 0.07454597 - time (sec): 165.91 - samples/sec: 8814.29 - lr: 0.100000
2023-04-05 23:40:29,228 ----------------------------------------------------------------------------------------------------
2023-04-05 23:40:29,228 EPOCH 27 done: loss 0.0745 - lr 0.100000
2023-04-05 23:40:29,229 BAD EPOCHS (no improvement): 0
2023-04-05 23:40:29,232 ----------------------------------------------------------------------------------------------------
2023-04-05 23:40:45,635 epoch 28 - iter 265/2650 - loss 0.07136972 - time (sec): 16.40 - samples/sec: 8944.07 - lr: 0.100000
2023-04-05 23:41:02,180 epoch 28 - iter 530/2650 - loss 0.07187728 - time (sec): 32.95 - samples/sec: 8924.15 - lr: 0.100000
2023-04-05 23:41:18,899 epoch 28 - iter 795/2650 - loss 0.07215467 - time (sec): 49.67 - samples/sec: 8899.01 - lr: 0.100000
2023-04-05 23:41:35,211 epoch 28 - iter 1060/2650 - loss 0.07262041 - time (sec): 65.98 - samples/sec: 8927.92 - lr: 0.100000
2023-04-05 23:41:51,377 epoch 28 - iter 1325/2650 - loss 0.07315861 - time (sec): 82.14 - samples/sec: 8928.12 - lr: 0.100000
2023-04-05 23:42:07,402 epoch 28 - iter 1590/2650 - loss 0.07372559 - time (sec): 98.17 - samples/sec: 8928.89 - lr: 0.100000
2023-04-05 23:42:23,959 epoch 28 - iter 1855/2650 - loss 0.07406578 - time (sec): 114.73 - samples/sec: 8929.58 - lr: 0.100000
2023-04-05 23:42:40,660 epoch 28 - iter 2120/2650 - loss 0.07392044 - time (sec): 131.43 - samples/sec: 8904.55 - lr: 0.100000
2023-04-05 23:42:57,328 epoch 28 - iter 2385/2650 - loss 0.07399453 - time (sec): 148.10 - samples/sec: 8884.10 - lr: 0.100000
2023-04-05 23:43:14,317 epoch 28 - iter 2650/2650 - loss 0.07411480 - time (sec): 165.08 - samples/sec: 8858.27 - lr: 0.100000
2023-04-05 23:43:14,317 ----------------------------------------------------------------------------------------------------
2023-04-05 23:43:14,317 EPOCH 28 done: loss 0.0741 - lr 0.100000
2023-04-05 23:43:14,317 BAD EPOCHS (no improvement): 0
2023-04-05 23:43:14,320 ----------------------------------------------------------------------------------------------------
2023-04-05 23:43:30,954 epoch 29 - iter 265/2650 - loss 0.07140330 - time (sec): 16.63 - samples/sec: 8772.01 - lr: 0.100000
2023-04-05 23:43:46,957 epoch 29 - iter 530/2650 - loss 0.07172451 - time (sec): 32.64 - samples/sec: 8946.49 - lr: 0.100000
2023-04-05 23:44:03,128 epoch 29 - iter 795/2650 - loss 0.07194700 - time (sec): 48.81 - samples/sec: 8958.16 - lr: 0.100000
2023-04-05 23:44:19,601 epoch 29 - iter 1060/2650 - loss 0.07172076 - time (sec): 65.28 - samples/sec: 8934.81 - lr: 0.100000
2023-04-05 23:44:35,690 epoch 29 - iter 1325/2650 - loss 0.07248644 - time (sec): 81.37 - samples/sec: 8954.02 - lr: 0.100000
2023-04-05 23:44:52,418 epoch 29 - iter 1590/2650 - loss 0.07266894 - time (sec): 98.10 - samples/sec: 8925.49 - lr: 0.100000
2023-04-05 23:45:08,608 epoch 29 - iter 1855/2650 - loss 0.07283337 - time (sec): 114.29 - samples/sec: 8942.15 - lr: 0.100000
2023-04-05 23:45:24,735 epoch 29 - iter 2120/2650 - loss 0.07319948 - time (sec): 130.41 - samples/sec: 8956.35 - lr: 0.100000
2023-04-05 23:45:40,946 epoch 29 - iter 2385/2650 - loss 0.07337351 - time (sec): 146.63 - samples/sec: 8962.32 - lr: 0.100000
2023-04-05 23:45:57,334 epoch 29 - iter 2650/2650 - loss 0.07327620 - time (sec): 163.01 - samples/sec: 8970.77 - lr: 0.100000
2023-04-05 23:45:57,335 ----------------------------------------------------------------------------------------------------
2023-04-05 23:45:57,335 EPOCH 29 done: loss 0.0733 - lr 0.100000
2023-04-05 23:45:57,335 BAD EPOCHS (no improvement): 0
2023-04-05 23:45:57,337 ----------------------------------------------------------------------------------------------------
2023-04-05 23:46:13,456 epoch 30 - iter 265/2650 - loss 0.07304172 - time (sec): 16.12 - samples/sec: 9072.75 - lr: 0.100000
2023-04-05 23:46:30,096 epoch 30 - iter 530/2650 - loss 0.07280894 - time (sec): 32.76 - samples/sec: 8952.78 - lr: 0.100000
2023-04-05 23:46:45,916 epoch 30 - iter 795/2650 - loss 0.07265153 - time (sec): 48.58 - samples/sec: 9022.34 - lr: 0.100000
2023-04-05 23:47:02,029 epoch 30 - iter 1060/2650 - loss 0.07321578 - time (sec): 64.69 - samples/sec: 9024.72 - lr: 0.100000
2023-04-05 23:47:18,348 epoch 30 - iter 1325/2650 - loss 0.07337074 - time (sec): 81.01 - samples/sec: 9007.13 - lr: 0.100000
2023-04-05 23:47:35,026 epoch 30 - iter 1590/2650 - loss 0.07355830 - time (sec): 97.69 - samples/sec: 8996.62 - lr: 0.100000
2023-04-05 23:47:51,026 epoch 30 - iter 1855/2650 - loss 0.07333185 - time (sec): 113.69 - samples/sec: 9007.14 - lr: 0.100000
2023-04-05 23:48:07,641 epoch 30 - iter 2120/2650 - loss 0.07314406 - time (sec): 130.30 - samples/sec: 8989.19 - lr: 0.100000
2023-04-05 23:48:23,772 epoch 30 - iter 2385/2650 - loss 0.07303984 - time (sec): 146.43 - samples/sec: 8994.05 - lr: 0.100000
2023-04-05 23:48:39,831 epoch 30 - iter 2650/2650 - loss 0.07347703 - time (sec): 162.49 - samples/sec: 8999.54 - lr: 0.100000
2023-04-05 23:48:39,831 ----------------------------------------------------------------------------------------------------
2023-04-05 23:48:39,831 EPOCH 30 done: loss 0.0735 - lr 0.100000
2023-04-05 23:48:39,831 BAD EPOCHS (no improvement): 1
2023-04-05 23:48:39,834 ----------------------------------------------------------------------------------------------------
2023-04-05 23:48:56,463 epoch 31 - iter 265/2650 - loss 0.07467396 - time (sec): 16.63 - samples/sec: 8854.65 - lr: 0.100000
2023-04-05 23:49:12,782 epoch 31 - iter 530/2650 - loss 0.07398105 - time (sec): 32.95 - samples/sec: 8941.72 - lr: 0.100000
2023-04-05 23:49:28,718 epoch 31 - iter 795/2650 - loss 0.07335593 - time (sec): 48.88 - samples/sec: 8989.05 - lr: 0.100000
2023-04-05 23:49:44,896 epoch 31 - iter 1060/2650 - loss 0.07232611 - time (sec): 65.06 - samples/sec: 9005.86 - lr: 0.100000
2023-04-05 23:50:01,295 epoch 31 - iter 1325/2650 - loss 0.07248450 - time (sec): 81.46 - samples/sec: 8984.02 - lr: 0.100000
2023-04-05 23:50:17,501 epoch 31 - iter 1590/2650 - loss 0.07270681 - time (sec): 97.67 - samples/sec: 8993.36 - lr: 0.100000
2023-04-05 23:50:33,829 epoch 31 - iter 1855/2650 - loss 0.07292968 - time (sec): 113.99 - samples/sec: 8993.59 - lr: 0.100000
2023-04-05 23:50:50,520 epoch 31 - iter 2120/2650 - loss 0.07294295 - time (sec): 130.69 - samples/sec: 8968.92 - lr: 0.100000
2023-04-05 23:51:06,973 epoch 31 - iter 2385/2650 - loss 0.07284937 - time (sec): 147.14 - samples/sec: 8950.33 - lr: 0.100000
2023-04-05 23:51:23,246 epoch 31 - iter 2650/2650 - loss 0.07309100 - time (sec): 163.41 - samples/sec: 8948.92 - lr: 0.100000
2023-04-05 23:51:23,247 ----------------------------------------------------------------------------------------------------
2023-04-05 23:51:23,247 EPOCH 31 done: loss 0.0731 - lr 0.100000
2023-04-05 23:51:23,247 BAD EPOCHS (no improvement): 0
2023-04-05 23:51:23,251 ----------------------------------------------------------------------------------------------------
2023-04-05 23:51:39,727 epoch 32 - iter 265/2650 - loss 0.07337973 - time (sec): 16.48 - samples/sec: 8747.88 - lr: 0.100000
2023-04-05 23:51:56,995 epoch 32 - iter 530/2650 - loss 0.07316909 - time (sec): 33.74 - samples/sec: 8694.68 - lr: 0.100000
2023-04-05 23:52:13,153 epoch 32 - iter 795/2650 - loss 0.07330826 - time (sec): 49.90 - samples/sec: 8791.99 - lr: 0.100000
2023-04-05 23:52:29,225 epoch 32 - iter 1060/2650 - loss 0.07313328 - time (sec): 65.97 - samples/sec: 8860.05 - lr: 0.100000
2023-04-05 23:52:45,512 epoch 32 - iter 1325/2650 - loss 0.07287759 - time (sec): 82.26 - samples/sec: 8880.00 - lr: 0.100000
2023-04-05 23:53:01,901 epoch 32 - iter 1590/2650 - loss 0.07309203 - time (sec): 98.65 - samples/sec: 8908.75 - lr: 0.100000
2023-04-05 23:53:18,200 epoch 32 - iter 1855/2650 - loss 0.07333949 - time (sec): 114.95 - samples/sec: 8906.20 - lr: 0.100000
2023-04-05 23:53:34,353 epoch 32 - iter 2120/2650 - loss 0.07326910 - time (sec): 131.10 - samples/sec: 8917.36 - lr: 0.100000
2023-04-05 23:53:50,388 epoch 32 - iter 2385/2650 - loss 0.07316192 - time (sec): 147.14 - samples/sec: 8936.20 - lr: 0.100000
2023-04-05 23:54:06,964 epoch 32 - iter 2650/2650 - loss 0.07332159 - time (sec): 163.71 - samples/sec: 8932.48 - lr: 0.100000
2023-04-05 23:54:06,964 ----------------------------------------------------------------------------------------------------
2023-04-05 23:54:06,964 EPOCH 32 done: loss 0.0733 - lr 0.100000
2023-04-05 23:54:06,964 BAD EPOCHS (no improvement): 1
2023-04-05 23:54:06,968 ----------------------------------------------------------------------------------------------------
2023-04-05 23:54:23,289 epoch 33 - iter 265/2650 - loss 0.07104250 - time (sec): 16.32 - samples/sec: 8929.20 - lr: 0.100000
2023-04-05 23:54:40,015 epoch 33 - iter 530/2650 - loss 0.07224364 - time (sec): 33.05 - samples/sec: 8912.80 - lr: 0.100000
2023-04-05 23:54:56,285 epoch 33 - iter 795/2650 - loss 0.07187646 - time (sec): 49.32 - samples/sec: 8938.69 - lr: 0.100000
2023-04-05 23:55:12,847 epoch 33 - iter 1060/2650 - loss 0.07151916 - time (sec): 65.88 - samples/sec: 8912.98 - lr: 0.100000
2023-04-05 23:55:28,973 epoch 33 - iter 1325/2650 - loss 0.07171163 - time (sec): 82.01 - samples/sec: 8948.81 - lr: 0.100000
2023-04-05 23:55:45,239 epoch 33 - iter 1590/2650 - loss 0.07208601 - time (sec): 98.27 - samples/sec: 8957.97 - lr: 0.100000
2023-04-05 23:56:01,465 epoch 33 - iter 1855/2650 - loss 0.07233538 - time (sec): 114.50 - samples/sec: 8960.89 - lr: 0.100000
2023-04-05 23:56:17,429 epoch 33 - iter 2120/2650 - loss 0.07234708 - time (sec): 130.46 - samples/sec: 8977.86 - lr: 0.100000
2023-04-05 23:56:33,393 epoch 33 - iter 2385/2650 - loss 0.07232732 - time (sec): 146.43 - samples/sec: 8991.56 - lr: 0.100000
2023-04-05 23:56:49,783 epoch 33 - iter 2650/2650 - loss 0.07267155 - time (sec): 162.82 - samples/sec: 8981.71 - lr: 0.100000
2023-04-05 23:56:49,784 ----------------------------------------------------------------------------------------------------
2023-04-05 23:56:49,784 EPOCH 33 done: loss 0.0727 - lr 0.100000
2023-04-05 23:56:49,784 BAD EPOCHS (no improvement): 0
2023-04-05 23:56:49,786 ----------------------------------------------------------------------------------------------------
2023-04-05 23:57:05,730 epoch 34 - iter 265/2650 - loss 0.07112843 - time (sec): 15.94 - samples/sec: 9065.94 - lr: 0.100000
2023-04-05 23:57:22,574 epoch 34 - iter 530/2650 - loss 0.07138117 - time (sec): 32.79 - samples/sec: 8894.82 - lr: 0.100000
2023-04-05 23:57:40,001 epoch 34 - iter 795/2650 - loss 0.07102652 - time (sec): 50.21 - samples/sec: 8789.82 - lr: 0.100000
2023-04-05 23:57:56,596 epoch 34 - iter 1060/2650 - loss 0.07153063 - time (sec): 66.81 - samples/sec: 8775.13 - lr: 0.100000
2023-04-05 23:58:13,367 epoch 34 - iter 1325/2650 - loss 0.07206906 - time (sec): 83.58 - samples/sec: 8750.10 - lr: 0.100000
2023-04-05 23:58:29,751 epoch 34 - iter 1590/2650 - loss 0.07192044 - time (sec): 99.96 - samples/sec: 8770.49 - lr: 0.100000
2023-04-05 23:58:46,629 epoch 34 - iter 1855/2650 - loss 0.07210681 - time (sec): 116.84 - samples/sec: 8747.22 - lr: 0.100000
2023-04-05 23:59:03,296 epoch 34 - iter 2120/2650 - loss 0.07224018 - time (sec): 133.51 - samples/sec: 8750.20 - lr: 0.100000
2023-04-05 23:59:20,809 epoch 34 - iter 2385/2650 - loss 0.07231118 - time (sec): 151.02 - samples/sec: 8717.90 - lr: 0.100000
2023-04-05 23:59:37,662 epoch 34 - iter 2650/2650 - loss 0.07225965 - time (sec): 167.88 - samples/sec: 8710.98 - lr: 0.100000
2023-04-05 23:59:37,662 ----------------------------------------------------------------------------------------------------
2023-04-05 23:59:37,662 EPOCH 34 done: loss 0.0723 - lr 0.100000
2023-04-05 23:59:37,662 BAD EPOCHS (no improvement): 0
2023-04-05 23:59:37,665 ----------------------------------------------------------------------------------------------------
2023-04-05 23:59:54,924 epoch 35 - iter 265/2650 - loss 0.07178968 - time (sec): 17.26 - samples/sec: 8491.86 - lr: 0.100000
2023-04-06 00:00:11,698 epoch 35 - iter 530/2650 - loss 0.07167803 - time (sec): 34.03 - samples/sec: 8627.08 - lr: 0.100000
2023-04-06 00:00:28,084 epoch 35 - iter 795/2650 - loss 0.07204809 - time (sec): 50.42 - samples/sec: 8706.56 - lr: 0.100000
2023-04-06 00:00:44,354 epoch 35 - iter 1060/2650 - loss 0.07219520 - time (sec): 66.69 - samples/sec: 8762.46 - lr: 0.100000
2023-04-06 00:01:01,068 epoch 35 - iter 1325/2650 - loss 0.07188944 - time (sec): 83.40 - samples/sec: 8766.43 - lr: 0.100000
2023-04-06 00:01:17,362 epoch 35 - iter 1590/2650 - loss 0.07194383 - time (sec): 99.70 - samples/sec: 8805.11 - lr: 0.100000
2023-04-06 00:01:33,695 epoch 35 - iter 1855/2650 - loss 0.07223850 - time (sec): 116.03 - samples/sec: 8814.20 - lr: 0.100000
2023-04-06 00:01:50,593 epoch 35 - iter 2120/2650 - loss 0.07244929 - time (sec): 132.93 - samples/sec: 8804.40 - lr: 0.100000
2023-04-06 00:02:07,186 epoch 35 - iter 2385/2650 - loss 0.07245637 - time (sec): 149.52 - samples/sec: 8804.42 - lr: 0.100000
2023-04-06 00:02:23,401 epoch 35 - iter 2650/2650 - loss 0.07253112 - time (sec): 165.74 - samples/sec: 8823.44 - lr: 0.100000
2023-04-06 00:02:23,402 ----------------------------------------------------------------------------------------------------
2023-04-06 00:02:23,402 EPOCH 35 done: loss 0.0725 - lr 0.100000
2023-04-06 00:02:23,402 BAD EPOCHS (no improvement): 1
2023-04-06 00:02:23,405 ----------------------------------------------------------------------------------------------------
2023-04-06 00:02:39,761 epoch 36 - iter 265/2650 - loss 0.07032988 - time (sec): 16.36 - samples/sec: 8945.64 - lr: 0.100000
2023-04-06 00:02:56,117 epoch 36 - iter 530/2650 - loss 0.07114986 - time (sec): 32.71 - samples/sec: 8947.40 - lr: 0.100000
2023-04-06 00:03:12,089 epoch 36 - iter 795/2650 - loss 0.07120288 - time (sec): 48.68 - samples/sec: 8992.18 - lr: 0.100000
2023-04-06 00:03:28,648 epoch 36 - iter 1060/2650 - loss 0.07165429 - time (sec): 65.24 - samples/sec: 8954.69 - lr: 0.100000
2023-04-06 00:03:44,861 epoch 36 - iter 1325/2650 - loss 0.07181887 - time (sec): 81.46 - samples/sec: 8956.41 - lr: 0.100000
2023-04-06 00:04:01,481 epoch 36 - iter 1590/2650 - loss 0.07221275 - time (sec): 98.08 - samples/sec: 8948.17 - lr: 0.100000
2023-04-06 00:04:17,605 epoch 36 - iter 1855/2650 - loss 0.07236233 - time (sec): 114.20 - samples/sec: 8971.85 - lr: 0.100000
2023-04-06 00:04:34,269 epoch 36 - iter 2120/2650 - loss 0.07257417 - time (sec): 130.86 - samples/sec: 8959.74 - lr: 0.100000
2023-04-06 00:04:50,395 epoch 36 - iter 2385/2650 - loss 0.07264115 - time (sec): 146.99 - samples/sec: 8966.54 - lr: 0.100000
2023-04-06 00:05:06,831 epoch 36 - iter 2650/2650 - loss 0.07264062 - time (sec): 163.43 - samples/sec: 8948.17 - lr: 0.100000
2023-04-06 00:05:06,831 ----------------------------------------------------------------------------------------------------
2023-04-06 00:05:06,832 EPOCH 36 done: loss 0.0726 - lr 0.100000
2023-04-06 00:05:06,832 BAD EPOCHS (no improvement): 2
2023-04-06 00:05:06,838 ----------------------------------------------------------------------------------------------------
2023-04-06 00:05:23,472 epoch 37 - iter 265/2650 - loss 0.07207069 - time (sec): 16.63 - samples/sec: 8850.87 - lr: 0.100000
2023-04-06 00:05:39,409 epoch 37 - iter 530/2650 - loss 0.07184221 - time (sec): 32.57 - samples/sec: 9004.19 - lr: 0.100000
2023-04-06 00:05:55,950 epoch 37 - iter 795/2650 - loss 0.07251834 - time (sec): 49.11 - samples/sec: 8983.08 - lr: 0.100000
2023-04-06 00:06:12,320 epoch 37 - iter 1060/2650 - loss 0.07261293 - time (sec): 65.48 - samples/sec: 8993.10 - lr: 0.100000
2023-04-06 00:06:28,015 epoch 37 - iter 1325/2650 - loss 0.07237248 - time (sec): 81.18 - samples/sec: 9019.74 - lr: 0.100000
2023-04-06 00:06:44,098 epoch 37 - iter 1590/2650 - loss 0.07240755 - time (sec): 97.26 - samples/sec: 9019.61 - lr: 0.100000
2023-04-06 00:07:00,676 epoch 37 - iter 1855/2650 - loss 0.07235769 - time (sec): 113.84 - samples/sec: 9004.33 - lr: 0.100000
2023-04-06 00:07:17,005 epoch 37 - iter 2120/2650 - loss 0.07220960 - time (sec): 130.17 - samples/sec: 9005.61 - lr: 0.100000
2023-04-06 00:07:33,012 epoch 37 - iter 2385/2650 - loss 0.07214504 - time (sec): 146.17 - samples/sec: 9011.54 - lr: 0.100000
2023-04-06 00:07:49,099 epoch 37 - iter 2650/2650 - loss 0.07220340 - time (sec): 162.26 - samples/sec: 9012.42 - lr: 0.100000
2023-04-06 00:07:49,099 ----------------------------------------------------------------------------------------------------
2023-04-06 00:07:49,099 EPOCH 37 done: loss 0.0722 - lr 0.100000
2023-04-06 00:07:49,099 BAD EPOCHS (no improvement): 0
2023-04-06 00:07:49,102 ----------------------------------------------------------------------------------------------------
2023-04-06 00:08:05,485 epoch 38 - iter 265/2650 - loss 0.07142793 - time (sec): 16.38 - samples/sec: 9000.60 - lr: 0.100000
2023-04-06 00:08:22,014 epoch 38 - iter 530/2650 - loss 0.07160864 - time (sec): 32.91 - samples/sec: 8929.42 - lr: 0.100000
2023-04-06 00:08:38,582 epoch 38 - iter 795/2650 - loss 0.07145915 - time (sec): 49.48 - samples/sec: 8936.87 - lr: 0.100000
2023-04-06 00:08:55,017 epoch 38 - iter 1060/2650 - loss 0.07195360 - time (sec): 65.91 - samples/sec: 8919.21 - lr: 0.100000
2023-04-06 00:09:11,444 epoch 38 - iter 1325/2650 - loss 0.07214628 - time (sec): 82.34 - samples/sec: 8922.26 - lr: 0.100000
2023-04-06 00:09:27,817 epoch 38 - iter 1590/2650 - loss 0.07211665 - time (sec): 98.71 - samples/sec: 8900.31 - lr: 0.100000
2023-04-06 00:09:44,576 epoch 38 - iter 1855/2650 - loss 0.07224461 - time (sec): 115.47 - samples/sec: 8871.24 - lr: 0.100000
2023-04-06 00:10:01,263 epoch 38 - iter 2120/2650 - loss 0.07221523 - time (sec): 132.16 - samples/sec: 8854.34 - lr: 0.100000
2023-04-06 00:10:18,372 epoch 38 - iter 2385/2650 - loss 0.07222608 - time (sec): 149.27 - samples/sec: 8805.18 - lr: 0.100000
2023-04-06 00:10:35,255 epoch 38 - iter 2650/2650 - loss 0.07225490 - time (sec): 166.15 - samples/sec: 8801.30 - lr: 0.100000
2023-04-06 00:10:35,256 ----------------------------------------------------------------------------------------------------
2023-04-06 00:10:35,256 EPOCH 38 done: loss 0.0723 - lr 0.100000
2023-04-06 00:10:35,256 BAD EPOCHS (no improvement): 1
2023-04-06 00:10:35,259 ----------------------------------------------------------------------------------------------------
2023-04-06 00:10:51,645 epoch 39 - iter 265/2650 - loss 0.07127092 - time (sec): 16.39 - samples/sec: 8997.16 - lr: 0.100000
2023-04-06 00:11:08,049 epoch 39 - iter 530/2650 - loss 0.07271000 - time (sec): 32.79 - samples/sec: 8934.77 - lr: 0.100000
2023-04-06 00:11:24,654 epoch 39 - iter 795/2650 - loss 0.07229111 - time (sec): 49.39 - samples/sec: 8901.28 - lr: 0.100000
2023-04-06 00:11:40,853 epoch 39 - iter 1060/2650 - loss 0.07227648 - time (sec): 65.59 - samples/sec: 8918.95 - lr: 0.100000
2023-04-06 00:11:57,344 epoch 39 - iter 1325/2650 - loss 0.07206788 - time (sec): 82.08 - samples/sec: 8922.81 - lr: 0.100000
2023-04-06 00:12:13,961 epoch 39 - iter 1590/2650 - loss 0.07206189 - time (sec): 98.70 - samples/sec: 8894.59 - lr: 0.100000
2023-04-06 00:12:30,472 epoch 39 - iter 1855/2650 - loss 0.07203252 - time (sec): 115.21 - samples/sec: 8895.28 - lr: 0.100000
2023-04-06 00:12:46,738 epoch 39 - iter 2120/2650 - loss 0.07198128 - time (sec): 131.48 - samples/sec: 8899.72 - lr: 0.100000
2023-04-06 00:13:03,051 epoch 39 - iter 2385/2650 - loss 0.07192134 - time (sec): 147.79 - samples/sec: 8904.36 - lr: 0.100000
2023-04-06 00:13:19,507 epoch 39 - iter 2650/2650 - loss 0.07200626 - time (sec): 164.25 - samples/sec: 8903.40 - lr: 0.100000
2023-04-06 00:13:19,507 ----------------------------------------------------------------------------------------------------
2023-04-06 00:13:19,507 EPOCH 39 done: loss 0.0720 - lr 0.100000
2023-04-06 00:13:19,507 BAD EPOCHS (no improvement): 0
2023-04-06 00:13:19,510 ----------------------------------------------------------------------------------------------------
2023-04-06 00:13:35,735 epoch 40 - iter 265/2650 - loss 0.07086980 - time (sec): 16.22 - samples/sec: 9022.68 - lr: 0.100000
2023-04-06 00:13:52,438 epoch 40 - iter 530/2650 - loss 0.07004132 - time (sec): 32.93 - samples/sec: 8953.98 - lr: 0.100000
2023-04-06 00:14:08,908 epoch 40 - iter 795/2650 - loss 0.07078340 - time (sec): 49.40 - samples/sec: 8927.78 - lr: 0.100000
2023-04-06 00:14:24,978 epoch 40 - iter 1060/2650 - loss 0.07104727 - time (sec): 65.47 - samples/sec: 8934.34 - lr: 0.100000
2023-04-06 00:14:41,164 epoch 40 - iter 1325/2650 - loss 0.07152219 - time (sec): 81.65 - samples/sec: 8945.85 - lr: 0.100000
2023-04-06 00:14:57,947 epoch 40 - iter 1590/2650 - loss 0.07184752 - time (sec): 98.44 - samples/sec: 8917.38 - lr: 0.100000
2023-04-06 00:15:14,864 epoch 40 - iter 1855/2650 - loss 0.07158050 - time (sec): 115.35 - samples/sec: 8873.78 - lr: 0.100000
2023-04-06 00:15:31,576 epoch 40 - iter 2120/2650 - loss 0.07144578 - time (sec): 132.07 - samples/sec: 8851.73 - lr: 0.100000
2023-04-06 00:15:48,454 epoch 40 - iter 2385/2650 - loss 0.07145730 - time (sec): 148.94 - samples/sec: 8827.98 - lr: 0.100000
2023-04-06 00:16:05,180 epoch 40 - iter 2650/2650 - loss 0.07166992 - time (sec): 165.67 - samples/sec: 8826.93 - lr: 0.100000
2023-04-06 00:16:05,181 ----------------------------------------------------------------------------------------------------
2023-04-06 00:16:05,181 EPOCH 40 done: loss 0.0717 - lr 0.100000
2023-04-06 00:16:05,181 BAD EPOCHS (no improvement): 0
2023-04-06 00:16:05,184 ----------------------------------------------------------------------------------------------------
2023-04-06 00:16:21,369 epoch 41 - iter 265/2650 - loss 0.07112801 - time (sec): 16.18 - samples/sec: 8942.62 - lr: 0.100000
2023-04-06 00:16:37,549 epoch 41 - iter 530/2650 - loss 0.07039613 - time (sec): 32.36 - samples/sec: 8951.13 - lr: 0.100000
2023-04-06 00:16:53,787 epoch 41 - iter 795/2650 - loss 0.07094668 - time (sec): 48.60 - samples/sec: 8943.58 - lr: 0.100000
2023-04-06 00:17:10,688 epoch 41 - iter 1060/2650 - loss 0.07064296 - time (sec): 65.50 - samples/sec: 8889.31 - lr: 0.100000
2023-04-06 00:17:27,176 epoch 41 - iter 1325/2650 - loss 0.07103222 - time (sec): 81.99 - samples/sec: 8898.24 - lr: 0.100000
2023-04-06 00:17:43,475 epoch 41 - iter 1590/2650 - loss 0.07112950 - time (sec): 98.29 - samples/sec: 8927.06 - lr: 0.100000
2023-04-06 00:17:59,778 epoch 41 - iter 1855/2650 - loss 0.07101025 - time (sec): 114.59 - samples/sec: 8928.19 - lr: 0.100000
2023-04-06 00:18:15,944 epoch 41 - iter 2120/2650 - loss 0.07098448 - time (sec): 130.76 - samples/sec: 8942.30 - lr: 0.100000
2023-04-06 00:18:32,401 epoch 41 - iter 2385/2650 - loss 0.07107900 - time (sec): 147.22 - samples/sec: 8946.56 - lr: 0.100000
2023-04-06 00:18:48,633 epoch 41 - iter 2650/2650 - loss 0.07125184 - time (sec): 163.45 - samples/sec: 8946.92 - lr: 0.100000
2023-04-06 00:18:48,633 ----------------------------------------------------------------------------------------------------
2023-04-06 00:18:48,633 EPOCH 41 done: loss 0.0713 - lr 0.100000
2023-04-06 00:18:48,633 BAD EPOCHS (no improvement): 0
2023-04-06 00:18:48,637 ----------------------------------------------------------------------------------------------------
2023-04-06 00:19:04,641 epoch 42 - iter 265/2650 - loss 0.07027198 - time (sec): 16.00 - samples/sec: 9025.42 - lr: 0.100000
2023-04-06 00:19:20,772 epoch 42 - iter 530/2650 - loss 0.07065379 - time (sec): 32.13 - samples/sec: 9078.42 - lr: 0.100000
2023-04-06 00:19:37,280 epoch 42 - iter 795/2650 - loss 0.07122289 - time (sec): 48.64 - samples/sec: 9027.62 - lr: 0.100000
2023-04-06 00:19:53,585 epoch 42 - iter 1060/2650 - loss 0.07148924 - time (sec): 64.95 - samples/sec: 9015.34 - lr: 0.100000
2023-04-06 00:20:09,768 epoch 42 - iter 1325/2650 - loss 0.07141697 - time (sec): 81.13 - samples/sec: 8996.15 - lr: 0.100000
2023-04-06 00:20:26,368 epoch 42 - iter 1590/2650 - loss 0.07138322 - time (sec): 97.73 - samples/sec: 8971.73 - lr: 0.100000
2023-04-06 00:20:42,522 epoch 42 - iter 1855/2650 - loss 0.07117857 - time (sec): 113.89 - samples/sec: 8974.42 - lr: 0.100000
2023-04-06 00:20:58,987 epoch 42 - iter 2120/2650 - loss 0.07144344 - time (sec): 130.35 - samples/sec: 8969.39 - lr: 0.100000
2023-04-06 00:21:15,563 epoch 42 - iter 2385/2650 - loss 0.07136744 - time (sec): 146.93 - samples/sec: 8967.49 - lr: 0.100000
2023-04-06 00:21:31,597 epoch 42 - iter 2650/2650 - loss 0.07142474 - time (sec): 162.96 - samples/sec: 8973.76 - lr: 0.100000
2023-04-06 00:21:31,597 ----------------------------------------------------------------------------------------------------
2023-04-06 00:21:31,597 EPOCH 42 done: loss 0.0714 - lr 0.100000
2023-04-06 00:21:31,597 BAD EPOCHS (no improvement): 1
2023-04-06 00:21:31,601 ----------------------------------------------------------------------------------------------------
2023-04-06 00:21:48,151 epoch 43 - iter 265/2650 - loss 0.07079030 - time (sec): 16.55 - samples/sec: 8866.33 - lr: 0.100000
2023-04-06 00:22:04,675 epoch 43 - iter 530/2650 - loss 0.07061901 - time (sec): 33.07 - samples/sec: 8851.62 - lr: 0.100000
2023-04-06 00:22:21,182 epoch 43 - iter 795/2650 - loss 0.07018205 - time (sec): 49.58 - samples/sec: 8811.01 - lr: 0.100000
2023-04-06 00:22:37,416 epoch 43 - iter 1060/2650 - loss 0.07064694 - time (sec): 65.82 - samples/sec: 8869.40 - lr: 0.100000
2023-04-06 00:22:53,597 epoch 43 - iter 1325/2650 - loss 0.07087457 - time (sec): 82.00 - samples/sec: 8895.69 - lr: 0.100000
2023-04-06 00:23:09,474 epoch 43 - iter 1590/2650 - loss 0.07090107 - time (sec): 97.87 - samples/sec: 8946.12 - lr: 0.100000
2023-04-06 00:23:25,661 epoch 43 - iter 1855/2650 - loss 0.07090688 - time (sec): 114.06 - samples/sec: 8965.48 - lr: 0.100000
2023-04-06 00:23:42,167 epoch 43 - iter 2120/2650 - loss 0.07093811 - time (sec): 130.57 - samples/sec: 8952.23 - lr: 0.100000
2023-04-06 00:23:58,367 epoch 43 - iter 2385/2650 - loss 0.07125855 - time (sec): 146.77 - samples/sec: 8955.53 - lr: 0.100000
2023-04-06 00:24:14,867 epoch 43 - iter 2650/2650 - loss 0.07123607 - time (sec): 163.27 - samples/sec: 8956.94 - lr: 0.100000
2023-04-06 00:24:14,867 ----------------------------------------------------------------------------------------------------
2023-04-06 00:24:14,867 EPOCH 43 done: loss 0.0712 - lr 0.100000
2023-04-06 00:24:14,867 BAD EPOCHS (no improvement): 0
2023-04-06 00:24:14,870 ----------------------------------------------------------------------------------------------------
2023-04-06 00:24:31,366 epoch 44 - iter 265/2650 - loss 0.07040799 - time (sec): 16.50 - samples/sec: 8870.03 - lr: 0.100000
2023-04-06 00:24:48,213 epoch 44 - iter 530/2650 - loss 0.07041591 - time (sec): 33.34 - samples/sec: 8871.76 - lr: 0.100000
2023-04-06 00:25:04,836 epoch 44 - iter 795/2650 - loss 0.07086026 - time (sec): 49.97 - samples/sec: 8893.30 - lr: 0.100000
2023-04-06 00:25:21,006 epoch 44 - iter 1060/2650 - loss 0.07113010 - time (sec): 66.14 - samples/sec: 8954.99 - lr: 0.100000
2023-04-06 00:25:37,237 epoch 44 - iter 1325/2650 - loss 0.07119482 - time (sec): 82.37 - samples/sec: 8947.28 - lr: 0.100000
2023-04-06 00:25:53,475 epoch 44 - iter 1590/2650 - loss 0.07131427 - time (sec): 98.60 - samples/sec: 8956.38 - lr: 0.100000
2023-04-06 00:26:09,889 epoch 44 - iter 1855/2650 - loss 0.07083260 - time (sec): 115.02 - samples/sec: 8951.22 - lr: 0.100000
2023-04-06 00:26:25,925 epoch 44 - iter 2120/2650 - loss 0.07122622 - time (sec): 131.06 - samples/sec: 8959.66 - lr: 0.100000
2023-04-06 00:26:42,193 epoch 44 - iter 2385/2650 - loss 0.07146312 - time (sec): 147.32 - samples/sec: 8951.19 - lr: 0.100000
2023-04-06 00:26:58,235 epoch 44 - iter 2650/2650 - loss 0.07145121 - time (sec): 163.37 - samples/sec: 8951.50 - lr: 0.100000
2023-04-06 00:26:58,235 ----------------------------------------------------------------------------------------------------
2023-04-06 00:26:58,235 EPOCH 44 done: loss 0.0715 - lr 0.100000
2023-04-06 00:26:58,235 BAD EPOCHS (no improvement): 1
2023-04-06 00:26:58,238 ----------------------------------------------------------------------------------------------------
2023-04-06 00:27:14,112 epoch 45 - iter 265/2650 - loss 0.07154977 - time (sec): 15.87 - samples/sec: 9142.19 - lr: 0.100000
2023-04-06 00:27:30,157 epoch 45 - iter 530/2650 - loss 0.07178480 - time (sec): 31.92 - samples/sec: 9135.11 - lr: 0.100000
2023-04-06 00:27:46,230 epoch 45 - iter 795/2650 - loss 0.07159411 - time (sec): 47.99 - samples/sec: 9117.83 - lr: 0.100000
2023-04-06 00:28:02,514 epoch 45 - iter 1060/2650 - loss 0.07146077 - time (sec): 64.28 - samples/sec: 9090.71 - lr: 0.100000
2023-04-06 00:28:18,468 epoch 45 - iter 1325/2650 - loss 0.07111077 - time (sec): 80.23 - samples/sec: 9100.49 - lr: 0.100000
2023-04-06 00:28:35,362 epoch 45 - iter 1590/2650 - loss 0.07116367 - time (sec): 97.12 - samples/sec: 9030.96 - lr: 0.100000
2023-04-06 00:28:51,597 epoch 45 - iter 1855/2650 - loss 0.07118995 - time (sec): 113.36 - samples/sec: 9021.43 - lr: 0.100000
2023-04-06 00:29:07,978 epoch 45 - iter 2120/2650 - loss 0.07131780 - time (sec): 129.74 - samples/sec: 9011.01 - lr: 0.100000
2023-04-06 00:29:24,469 epoch 45 - iter 2385/2650 - loss 0.07137187 - time (sec): 146.23 - samples/sec: 9000.23 - lr: 0.100000
2023-04-06 00:29:40,237 epoch 45 - iter 2650/2650 - loss 0.07159305 - time (sec): 162.00 - samples/sec: 9026.97 - lr: 0.100000
2023-04-06 00:29:40,238 ----------------------------------------------------------------------------------------------------
2023-04-06 00:29:40,238 EPOCH 45 done: loss 0.0716 - lr 0.100000
2023-04-06 00:29:40,238 BAD EPOCHS (no improvement): 2
2023-04-06 00:29:40,240 ----------------------------------------------------------------------------------------------------
2023-04-06 00:29:56,434 epoch 46 - iter 265/2650 - loss 0.06957088 - time (sec): 16.19 - samples/sec: 9113.04 - lr: 0.100000
2023-04-06 00:30:12,696 epoch 46 - iter 530/2650 - loss 0.06956516 - time (sec): 32.46 - samples/sec: 9065.05 - lr: 0.100000
2023-04-06 00:30:28,649 epoch 46 - iter 795/2650 - loss 0.07021257 - time (sec): 48.41 - samples/sec: 9080.81 - lr: 0.100000
2023-04-06 00:30:44,796 epoch 46 - iter 1060/2650 - loss 0.07041142 - time (sec): 64.56 - samples/sec: 9071.30 - lr: 0.100000
2023-04-06 00:31:01,488 epoch 46 - iter 1325/2650 - loss 0.07056323 - time (sec): 81.25 - samples/sec: 9007.26 - lr: 0.100000
2023-04-06 00:31:17,584 epoch 46 - iter 1590/2650 - loss 0.07072982 - time (sec): 97.34 - samples/sec: 9002.15 - lr: 0.100000
2023-04-06 00:31:33,805 epoch 46 - iter 1855/2650 - loss 0.07056774 - time (sec): 113.56 - samples/sec: 9011.85 - lr: 0.100000
2023-04-06 00:31:50,632 epoch 46 - iter 2120/2650 - loss 0.07085800 - time (sec): 130.39 - samples/sec: 8963.87 - lr: 0.100000
2023-04-06 00:32:07,443 epoch 46 - iter 2385/2650 - loss 0.07091918 - time (sec): 147.20 - samples/sec: 8938.21 - lr: 0.100000
2023-04-06 00:32:36,288 epoch 46 - iter 2650/2650 - loss 0.07094782 - time (sec): 176.05 - samples/sec: 8306.66 - lr: 0.100000
2023-04-06 00:32:36,288 ----------------------------------------------------------------------------------------------------
2023-04-06 00:32:36,288 EPOCH 46 done: loss 0.0709 - lr 0.100000
2023-04-06 00:32:36,288 BAD EPOCHS (no improvement): 0
2023-04-06 00:32:36,292 ----------------------------------------------------------------------------------------------------
2023-04-06 00:32:53,399 epoch 47 - iter 265/2650 - loss 0.06932976 - time (sec): 17.11 - samples/sec: 8613.01 - lr: 0.100000
2023-04-06 00:33:10,057 epoch 47 - iter 530/2650 - loss 0.06944256 - time (sec): 33.77 - samples/sec: 8728.59 - lr: 0.100000
2023-04-06 00:33:26,710 epoch 47 - iter 795/2650 - loss 0.06951723 - time (sec): 50.42 - samples/sec: 8805.61 - lr: 0.100000
2023-04-06 00:33:42,829 epoch 47 - iter 1060/2650 - loss 0.06994728 - time (sec): 66.54 - samples/sec: 8862.75 - lr: 0.100000
2023-04-06 00:33:59,128 epoch 47 - iter 1325/2650 - loss 0.07048175 - time (sec): 82.84 - samples/sec: 8873.75 - lr: 0.100000
2023-04-06 00:34:15,097 epoch 47 - iter 1590/2650 - loss 0.07018941 - time (sec): 98.80 - samples/sec: 8906.73 - lr: 0.100000
2023-04-06 00:34:31,018 epoch 47 - iter 1855/2650 - loss 0.07046507 - time (sec): 114.73 - samples/sec: 8935.70 - lr: 0.100000
2023-04-06 00:34:47,331 epoch 47 - iter 2120/2650 - loss 0.07065971 - time (sec): 131.04 - samples/sec: 8948.92 - lr: 0.100000
2023-04-06 00:35:03,343 epoch 47 - iter 2385/2650 - loss 0.07073921 - time (sec): 147.05 - samples/sec: 8962.82 - lr: 0.100000
2023-04-06 00:35:19,702 epoch 47 - iter 2650/2650 - loss 0.07088372 - time (sec): 163.41 - samples/sec: 8949.05 - lr: 0.100000
2023-04-06 00:35:19,702 ----------------------------------------------------------------------------------------------------
2023-04-06 00:35:19,702 EPOCH 47 done: loss 0.0709 - lr 0.100000
2023-04-06 00:35:19,702 BAD EPOCHS (no improvement): 0
2023-04-06 00:35:19,706 ----------------------------------------------------------------------------------------------------
2023-04-06 00:35:36,192 epoch 48 - iter 265/2650 - loss 0.06999409 - time (sec): 16.49 - samples/sec: 8879.88 - lr: 0.100000
2023-04-06 00:35:53,294 epoch 48 - iter 530/2650 - loss 0.07086513 - time (sec): 33.59 - samples/sec: 8765.73 - lr: 0.100000
2023-04-06 00:36:09,767 epoch 48 - iter 795/2650 - loss 0.07169963 - time (sec): 50.06 - samples/sec: 8794.70 - lr: 0.100000
2023-04-06 00:36:26,091 epoch 48 - iter 1060/2650 - loss 0.07174085 - time (sec): 66.39 - samples/sec: 8837.25 - lr: 0.100000
2023-04-06 00:36:41,935 epoch 48 - iter 1325/2650 - loss 0.07136827 - time (sec): 82.23 - samples/sec: 8881.83 - lr: 0.100000
2023-04-06 00:36:58,821 epoch 48 - iter 1590/2650 - loss 0.07101240 - time (sec): 99.11 - samples/sec: 8876.79 - lr: 0.100000
2023-04-06 00:37:14,785 epoch 48 - iter 1855/2650 - loss 0.07092422 - time (sec): 115.08 - samples/sec: 8900.52 - lr: 0.100000
2023-04-06 00:37:30,843 epoch 48 - iter 2120/2650 - loss 0.07078393 - time (sec): 131.14 - samples/sec: 8925.10 - lr: 0.100000
2023-04-06 00:37:47,247 epoch 48 - iter 2385/2650 - loss 0.07109979 - time (sec): 147.54 - samples/sec: 8921.92 - lr: 0.100000
2023-04-06 00:38:03,551 epoch 48 - iter 2650/2650 - loss 0.07099543 - time (sec): 163.85 - samples/sec: 8925.24 - lr: 0.100000
2023-04-06 00:38:03,552 ----------------------------------------------------------------------------------------------------
2023-04-06 00:38:03,552 EPOCH 48 done: loss 0.0710 - lr 0.100000
2023-04-06 00:38:03,552 BAD EPOCHS (no improvement): 1
2023-04-06 00:38:03,555 ----------------------------------------------------------------------------------------------------
2023-04-06 00:38:19,775 epoch 49 - iter 265/2650 - loss 0.07252217 - time (sec): 16.22 - samples/sec: 9002.75 - lr: 0.100000
2023-04-06 00:38:35,854 epoch 49 - iter 530/2650 - loss 0.07195042 - time (sec): 32.30 - samples/sec: 9027.09 - lr: 0.100000
2023-04-06 00:38:52,168 epoch 49 - iter 795/2650 - loss 0.07130390 - time (sec): 48.61 - samples/sec: 9011.85 - lr: 0.100000
2023-04-06 00:39:09,366 epoch 49 - iter 1060/2650 - loss 0.07107934 - time (sec): 65.81 - samples/sec: 8895.87 - lr: 0.100000
2023-04-06 00:39:26,140 epoch 49 - iter 1325/2650 - loss 0.07113588 - time (sec): 82.59 - samples/sec: 8863.69 - lr: 0.100000
2023-04-06 00:39:42,555 epoch 49 - iter 1590/2650 - loss 0.07076877 - time (sec): 99.00 - samples/sec: 8872.15 - lr: 0.100000
2023-04-06 00:39:58,630 epoch 49 - iter 1855/2650 - loss 0.07056306 - time (sec): 115.08 - samples/sec: 8907.17 - lr: 0.100000
2023-04-06 00:40:14,356 epoch 49 - iter 2120/2650 - loss 0.07057114 - time (sec): 130.80 - samples/sec: 8942.82 - lr: 0.100000
2023-04-06 00:40:30,380 epoch 49 - iter 2385/2650 - loss 0.07074532 - time (sec): 146.82 - samples/sec: 8962.19 - lr: 0.100000
2023-04-06 00:40:46,526 epoch 49 - iter 2650/2650 - loss 0.07079680 - time (sec): 162.97 - samples/sec: 8973.13 - lr: 0.100000
2023-04-06 00:40:46,527 ----------------------------------------------------------------------------------------------------
2023-04-06 00:40:46,527 EPOCH 49 done: loss 0.0708 - lr 0.100000
2023-04-06 00:40:46,527 BAD EPOCHS (no improvement): 0
2023-04-06 00:40:46,530 ----------------------------------------------------------------------------------------------------
2023-04-06 00:41:02,622 epoch 50 - iter 265/2650 - loss 0.06927851 - time (sec): 16.09 - samples/sec: 9070.49 - lr: 0.100000
2023-04-06 00:41:19,366 epoch 50 - iter 530/2650 - loss 0.06961684 - time (sec): 32.84 - samples/sec: 8876.28 - lr: 0.100000
2023-04-06 00:41:36,079 epoch 50 - iter 795/2650 - loss 0.07052764 - time (sec): 49.55 - samples/sec: 8883.83 - lr: 0.100000
2023-04-06 00:41:52,641 epoch 50 - iter 1060/2650 - loss 0.07025084 - time (sec): 66.11 - samples/sec: 8849.81 - lr: 0.100000
2023-04-06 00:42:09,688 epoch 50 - iter 1325/2650 - loss 0.07017766 - time (sec): 83.16 - samples/sec: 8788.62 - lr: 0.100000
2023-04-06 00:42:26,758 epoch 50 - iter 1590/2650 - loss 0.07014135 - time (sec): 100.23 - samples/sec: 8761.83 - lr: 0.100000
2023-04-06 00:42:43,436 epoch 50 - iter 1855/2650 - loss 0.07036350 - time (sec): 116.91 - samples/sec: 8758.54 - lr: 0.100000
2023-04-06 00:43:00,267 epoch 50 - iter 2120/2650 - loss 0.07035039 - time (sec): 133.74 - samples/sec: 8744.07 - lr: 0.100000
2023-04-06 00:43:17,297 epoch 50 - iter 2385/2650 - loss 0.07041627 - time (sec): 150.77 - samples/sec: 8732.72 - lr: 0.100000
2023-04-06 00:43:34,316 epoch 50 - iter 2650/2650 - loss 0.07061794 - time (sec): 167.79 - samples/sec: 8715.64 - lr: 0.100000
2023-04-06 00:43:34,316 ----------------------------------------------------------------------------------------------------
2023-04-06 00:43:34,316 EPOCH 50 done: loss 0.0706 - lr 0.100000
2023-04-06 00:43:34,316 BAD EPOCHS (no improvement): 0
2023-04-06 00:43:34,321 ----------------------------------------------------------------------------------------------------
2023-04-06 00:43:51,184 epoch 51 - iter 265/2650 - loss 0.06926971 - time (sec): 16.86 - samples/sec: 8688.08 - lr: 0.100000
2023-04-06 00:44:08,348 epoch 51 - iter 530/2650 - loss 0.06928654 - time (sec): 34.03 - samples/sec: 8605.90 - lr: 0.100000
2023-04-06 00:44:25,455 epoch 51 - iter 795/2650 - loss 0.06983568 - time (sec): 51.13 - samples/sec: 8580.63 - lr: 0.100000
2023-04-06 00:44:42,239 epoch 51 - iter 1060/2650 - loss 0.07018457 - time (sec): 67.92 - samples/sec: 8606.76 - lr: 0.100000
2023-04-06 00:44:59,070 epoch 51 - iter 1325/2650 - loss 0.07020621 - time (sec): 84.75 - samples/sec: 8636.88 - lr: 0.100000
2023-04-06 00:45:16,063 epoch 51 - iter 1590/2650 - loss 0.07010941 - time (sec): 101.74 - samples/sec: 8648.19 - lr: 0.100000
2023-04-06 00:45:32,289 epoch 51 - iter 1855/2650 - loss 0.06981748 - time (sec): 117.97 - samples/sec: 8696.39 - lr: 0.100000
2023-04-06 00:45:48,322 epoch 51 - iter 2120/2650 - loss 0.06970811 - time (sec): 134.00 - samples/sec: 8740.86 - lr: 0.100000
2023-04-06 00:46:04,277 epoch 51 - iter 2385/2650 - loss 0.06973645 - time (sec): 149.96 - samples/sec: 8782.85 - lr: 0.100000
2023-04-06 00:46:20,089 epoch 51 - iter 2650/2650 - loss 0.06997072 - time (sec): 165.77 - samples/sec: 8821.75 - lr: 0.100000
2023-04-06 00:46:20,090 ----------------------------------------------------------------------------------------------------
2023-04-06 00:46:20,090 EPOCH 51 done: loss 0.0700 - lr 0.100000
2023-04-06 00:46:20,090 BAD EPOCHS (no improvement): 0
2023-04-06 00:46:20,093 ----------------------------------------------------------------------------------------------------
2023-04-06 00:46:36,508 epoch 52 - iter 265/2650 - loss 0.07057618 - time (sec): 16.41 - samples/sec: 8976.22 - lr: 0.100000
2023-04-06 00:46:52,925 epoch 52 - iter 530/2650 - loss 0.06948502 - time (sec): 32.83 - samples/sec: 8944.81 - lr: 0.100000
2023-04-06 00:47:08,909 epoch 52 - iter 795/2650 - loss 0.06969759 - time (sec): 48.82 - samples/sec: 8976.12 - lr: 0.100000
2023-04-06 00:47:25,327 epoch 52 - iter 1060/2650 - loss 0.07006314 - time (sec): 65.23 - samples/sec: 8956.05 - lr: 0.100000
2023-04-06 00:47:42,162 epoch 52 - iter 1325/2650 - loss 0.06982530 - time (sec): 82.07 - samples/sec: 8916.04 - lr: 0.100000
2023-04-06 00:47:59,116 epoch 52 - iter 1590/2650 - loss 0.06991934 - time (sec): 99.02 - samples/sec: 8892.60 - lr: 0.100000
2023-04-06 00:48:15,107 epoch 52 - iter 1855/2650 - loss 0.06989432 - time (sec): 115.01 - samples/sec: 8934.88 - lr: 0.100000
2023-04-06 00:48:30,949 epoch 52 - iter 2120/2650 - loss 0.06989044 - time (sec): 130.86 - samples/sec: 8954.84 - lr: 0.100000
2023-04-06 00:48:47,018 epoch 52 - iter 2385/2650 - loss 0.07013763 - time (sec): 146.92 - samples/sec: 8971.63 - lr: 0.100000
2023-04-06 00:49:03,264 epoch 52 - iter 2650/2650 - loss 0.07032427 - time (sec): 163.17 - samples/sec: 8962.18 - lr: 0.100000
2023-04-06 00:49:03,264 ----------------------------------------------------------------------------------------------------
2023-04-06 00:49:03,264 EPOCH 52 done: loss 0.0703 - lr 0.100000
2023-04-06 00:49:03,264 BAD EPOCHS (no improvement): 1
2023-04-06 00:49:03,267 ----------------------------------------------------------------------------------------------------
2023-04-06 00:49:19,329 epoch 53 - iter 265/2650 - loss 0.06942106 - time (sec): 16.06 - samples/sec: 9096.25 - lr: 0.100000
2023-04-06 00:49:35,851 epoch 53 - iter 530/2650 - loss 0.06995705 - time (sec): 32.58 - samples/sec: 8987.51 - lr: 0.100000
2023-04-06 00:49:52,201 epoch 53 - iter 795/2650 - loss 0.07027896 - time (sec): 48.93 - samples/sec: 8975.59 - lr: 0.100000
2023-04-06 00:50:08,496 epoch 53 - iter 1060/2650 - loss 0.07041043 - time (sec): 65.23 - samples/sec: 8976.76 - lr: 0.100000
2023-04-06 00:50:25,336 epoch 53 - iter 1325/2650 - loss 0.07032327 - time (sec): 82.07 - samples/sec: 8933.99 - lr: 0.100000
2023-04-06 00:50:41,950 epoch 53 - iter 1590/2650 - loss 0.07037244 - time (sec): 98.68 - samples/sec: 8914.34 - lr: 0.100000
2023-04-06 00:50:58,613 epoch 53 - iter 1855/2650 - loss 0.07030050 - time (sec): 115.35 - samples/sec: 8889.15 - lr: 0.100000
2023-04-06 00:51:15,255 epoch 53 - iter 2120/2650 - loss 0.07038454 - time (sec): 131.99 - samples/sec: 8867.00 - lr: 0.100000
2023-04-06 00:51:31,661 epoch 53 - iter 2385/2650 - loss 0.07051792 - time (sec): 148.39 - samples/sec: 8871.28 - lr: 0.100000
2023-04-06 00:51:48,021 epoch 53 - iter 2650/2650 - loss 0.07048669 - time (sec): 164.75 - samples/sec: 8876.04 - lr: 0.100000
2023-04-06 00:51:48,021 ----------------------------------------------------------------------------------------------------
2023-04-06 00:51:48,021 EPOCH 53 done: loss 0.0705 - lr 0.100000
2023-04-06 00:51:48,021 BAD EPOCHS (no improvement): 2
2023-04-06 00:51:48,024 ----------------------------------------------------------------------------------------------------
2023-04-06 00:52:04,049 epoch 54 - iter 265/2650 - loss 0.06840491 - time (sec): 16.02 - samples/sec: 9166.89 - lr: 0.100000
2023-04-06 00:52:20,376 epoch 54 - iter 530/2650 - loss 0.06870404 - time (sec): 32.35 - samples/sec: 9091.95 - lr: 0.100000
2023-04-06 00:52:36,750 epoch 54 - iter 795/2650 - loss 0.06888747 - time (sec): 48.73 - samples/sec: 9058.27 - lr: 0.100000
2023-04-06 00:52:52,789 epoch 54 - iter 1060/2650 - loss 0.06963990 - time (sec): 64.76 - samples/sec: 9040.55 - lr: 0.100000
2023-04-06 00:53:09,008 epoch 54 - iter 1325/2650 - loss 0.06934989 - time (sec): 80.98 - samples/sec: 9034.04 - lr: 0.100000
2023-04-06 00:53:25,266 epoch 54 - iter 1590/2650 - loss 0.06955036 - time (sec): 97.24 - samples/sec: 9020.30 - lr: 0.100000
2023-04-06 00:53:41,236 epoch 54 - iter 1855/2650 - loss 0.06999555 - time (sec): 113.21 - samples/sec: 9017.62 - lr: 0.100000
2023-04-06 00:53:57,313 epoch 54 - iter 2120/2650 - loss 0.06989100 - time (sec): 129.29 - samples/sec: 9036.68 - lr: 0.100000
2023-04-06 00:54:13,435 epoch 54 - iter 2385/2650 - loss 0.06985997 - time (sec): 145.41 - samples/sec: 9048.80 - lr: 0.100000
2023-04-06 00:54:29,601 epoch 54 - iter 2650/2650 - loss 0.07006924 - time (sec): 161.58 - samples/sec: 9050.59 - lr: 0.100000
2023-04-06 00:54:29,601 ----------------------------------------------------------------------------------------------------
2023-04-06 00:54:29,601 EPOCH 54 done: loss 0.0701 - lr 0.100000
2023-04-06 00:54:29,601 BAD EPOCHS (no improvement): 3
2023-04-06 00:54:29,603 ----------------------------------------------------------------------------------------------------
2023-04-06 00:54:45,501 epoch 55 - iter 265/2650 - loss 0.07070403 - time (sec): 15.90 - samples/sec: 9150.48 - lr: 0.100000
2023-04-06 00:55:01,676 epoch 55 - iter 530/2650 - loss 0.07010893 - time (sec): 32.07 - samples/sec: 9059.35 - lr: 0.100000
2023-04-06 00:55:18,051 epoch 55 - iter 795/2650 - loss 0.06953563 - time (sec): 48.45 - samples/sec: 9024.51 - lr: 0.100000
2023-04-06 00:55:34,254 epoch 55 - iter 1060/2650 - loss 0.06977361 - time (sec): 64.65 - samples/sec: 9024.28 - lr: 0.100000
2023-04-06 00:55:50,640 epoch 55 - iter 1325/2650 - loss 0.06940043 - time (sec): 81.04 - samples/sec: 9023.65 - lr: 0.100000
2023-04-06 00:56:06,800 epoch 55 - iter 1590/2650 - loss 0.06972506 - time (sec): 97.20 - samples/sec: 9043.12 - lr: 0.100000
2023-04-06 00:56:22,547 epoch 55 - iter 1855/2650 - loss 0.07009396 - time (sec): 112.94 - samples/sec: 9049.40 - lr: 0.100000
2023-04-06 00:56:38,924 epoch 55 - iter 2120/2650 - loss 0.07017328 - time (sec): 129.32 - samples/sec: 9055.51 - lr: 0.100000
2023-04-06 00:56:54,940 epoch 55 - iter 2385/2650 - loss 0.07024190 - time (sec): 145.34 - samples/sec: 9046.28 - lr: 0.100000
2023-04-06 00:57:11,300 epoch 55 - iter 2650/2650 - loss 0.07030772 - time (sec): 161.70 - samples/sec: 9043.89 - lr: 0.100000
2023-04-06 00:57:11,300 ----------------------------------------------------------------------------------------------------
2023-04-06 00:57:11,300 EPOCH 55 done: loss 0.0703 - lr 0.100000
2023-04-06 00:57:11,300 Epoch 55: reducing learning rate of group 0 to 5.0000e-02.
2023-04-06 00:57:11,300 BAD EPOCHS (no improvement): 4
2023-04-06 00:57:11,304 ----------------------------------------------------------------------------------------------------
2023-04-06 00:57:27,354 epoch 56 - iter 265/2650 - loss 0.06882564 - time (sec): 16.05 - samples/sec: 9107.43 - lr: 0.050000
2023-04-06 00:57:43,120 epoch 56 - iter 530/2650 - loss 0.06708982 - time (sec): 31.82 - samples/sec: 9123.49 - lr: 0.050000
2023-04-06 00:57:59,178 epoch 56 - iter 795/2650 - loss 0.06730472 - time (sec): 47.87 - samples/sec: 9122.61 - lr: 0.050000
2023-04-06 00:58:15,579 epoch 56 - iter 1060/2650 - loss 0.06745254 - time (sec): 64.27 - samples/sec: 9080.69 - lr: 0.050000
2023-04-06 00:58:31,805 epoch 56 - iter 1325/2650 - loss 0.06744974 - time (sec): 80.50 - samples/sec: 9058.67 - lr: 0.050000
2023-04-06 00:58:47,921 epoch 56 - iter 1590/2650 - loss 0.06752321 - time (sec): 96.62 - samples/sec: 9053.76 - lr: 0.050000
2023-04-06 00:59:04,169 epoch 56 - iter 1855/2650 - loss 0.06739416 - time (sec): 112.86 - samples/sec: 9044.88 - lr: 0.050000
2023-04-06 00:59:20,535 epoch 56 - iter 2120/2650 - loss 0.06717860 - time (sec): 129.23 - samples/sec: 9046.85 - lr: 0.050000
2023-04-06 00:59:36,808 epoch 56 - iter 2385/2650 - loss 0.06707846 - time (sec): 145.50 - samples/sec: 9038.82 - lr: 0.050000
2023-04-06 00:59:52,885 epoch 56 - iter 2650/2650 - loss 0.06712086 - time (sec): 161.58 - samples/sec: 9050.30 - lr: 0.050000
2023-04-06 00:59:52,886 ----------------------------------------------------------------------------------------------------
2023-04-06 00:59:52,886 EPOCH 56 done: loss 0.0671 - lr 0.050000
2023-04-06 00:59:52,886 BAD EPOCHS (no improvement): 0
2023-04-06 00:59:52,889 ----------------------------------------------------------------------------------------------------
2023-04-06 01:00:09,395 epoch 57 - iter 265/2650 - loss 0.06560021 - time (sec): 16.51 - samples/sec: 8958.11 - lr: 0.050000
2023-04-06 01:00:25,492 epoch 57 - iter 530/2650 - loss 0.06578448 - time (sec): 32.60 - samples/sec: 9069.58 - lr: 0.050000
2023-04-06 01:00:41,822 epoch 57 - iter 795/2650 - loss 0.06586858 - time (sec): 48.93 - samples/sec: 9046.03 - lr: 0.050000
2023-04-06 01:00:58,569 epoch 57 - iter 1060/2650 - loss 0.06528539 - time (sec): 65.68 - samples/sec: 8952.61 - lr: 0.050000
2023-04-06 01:01:15,247 epoch 57 - iter 1325/2650 - loss 0.06542136 - time (sec): 82.36 - samples/sec: 8903.64 - lr: 0.050000
2023-04-06 01:01:31,592 epoch 57 - iter 1590/2650 - loss 0.06567769 - time (sec): 98.70 - samples/sec: 8902.15 - lr: 0.050000
2023-04-06 01:01:48,042 epoch 57 - iter 1855/2650 - loss 0.06581832 - time (sec): 115.15 - samples/sec: 8899.48 - lr: 0.050000
2023-04-06 01:02:04,568 epoch 57 - iter 2120/2650 - loss 0.06570270 - time (sec): 131.68 - samples/sec: 8893.36 - lr: 0.050000
2023-04-06 01:02:20,525 epoch 57 - iter 2385/2650 - loss 0.06564223 - time (sec): 147.64 - samples/sec: 8913.57 - lr: 0.050000
2023-04-06 01:02:36,857 epoch 57 - iter 2650/2650 - loss 0.06574518 - time (sec): 163.97 - samples/sec: 8918.61 - lr: 0.050000
2023-04-06 01:02:36,857 ----------------------------------------------------------------------------------------------------
2023-04-06 01:02:36,857 EPOCH 57 done: loss 0.0657 - lr 0.050000
2023-04-06 01:02:36,857 BAD EPOCHS (no improvement): 0
2023-04-06 01:02:36,861 ----------------------------------------------------------------------------------------------------
2023-04-06 01:02:53,792 epoch 58 - iter 265/2650 - loss 0.06592841 - time (sec): 16.93 - samples/sec: 8731.00 - lr: 0.050000
2023-04-06 01:03:09,671 epoch 58 - iter 530/2650 - loss 0.06514448 - time (sec): 32.81 - samples/sec: 8954.05 - lr: 0.050000
2023-04-06 01:03:25,897 epoch 58 - iter 795/2650 - loss 0.06449833 - time (sec): 49.04 - samples/sec: 8968.38 - lr: 0.050000
2023-04-06 01:03:41,996 epoch 58 - iter 1060/2650 - loss 0.06467492 - time (sec): 65.13 - samples/sec: 8972.81 - lr: 0.050000
2023-04-06 01:03:58,472 epoch 58 - iter 1325/2650 - loss 0.06467133 - time (sec): 81.61 - samples/sec: 8950.79 - lr: 0.050000
2023-04-06 01:04:14,703 epoch 58 - iter 1590/2650 - loss 0.06457911 - time (sec): 97.84 - samples/sec: 8964.89 - lr: 0.050000
2023-04-06 01:04:30,617 epoch 58 - iter 1855/2650 - loss 0.06460521 - time (sec): 113.76 - samples/sec: 8986.08 - lr: 0.050000
2023-04-06 01:04:47,186 epoch 58 - iter 2120/2650 - loss 0.06449839 - time (sec): 130.32 - samples/sec: 8979.10 - lr: 0.050000
2023-04-06 01:05:03,240 epoch 58 - iter 2385/2650 - loss 0.06429534 - time (sec): 146.38 - samples/sec: 8991.49 - lr: 0.050000
2023-04-06 01:05:19,589 epoch 58 - iter 2650/2650 - loss 0.06454708 - time (sec): 162.73 - samples/sec: 8986.60 - lr: 0.050000
2023-04-06 01:05:19,589 ----------------------------------------------------------------------------------------------------
2023-04-06 01:05:19,589 EPOCH 58 done: loss 0.0645 - lr 0.050000
2023-04-06 01:05:19,589 BAD EPOCHS (no improvement): 0
2023-04-06 01:05:19,594 ----------------------------------------------------------------------------------------------------
2023-04-06 01:05:36,298 epoch 59 - iter 265/2650 - loss 0.06403126 - time (sec): 16.70 - samples/sec: 8805.07 - lr: 0.050000
2023-04-06 01:05:52,656 epoch 59 - iter 530/2650 - loss 0.06414078 - time (sec): 33.06 - samples/sec: 8863.83 - lr: 0.050000
2023-04-06 01:06:09,117 epoch 59 - iter 795/2650 - loss 0.06398595 - time (sec): 49.52 - samples/sec: 8872.39 - lr: 0.050000
2023-04-06 01:06:25,490 epoch 59 - iter 1060/2650 - loss 0.06383660 - time (sec): 65.90 - samples/sec: 8886.63 - lr: 0.050000
2023-04-06 01:06:41,992 epoch 59 - iter 1325/2650 - loss 0.06347637 - time (sec): 82.40 - samples/sec: 8900.41 - lr: 0.050000
2023-04-06 01:06:58,385 epoch 59 - iter 1590/2650 - loss 0.06346296 - time (sec): 98.79 - samples/sec: 8895.05 - lr: 0.050000
2023-04-06 01:07:14,692 epoch 59 - iter 1855/2650 - loss 0.06354064 - time (sec): 115.10 - samples/sec: 8895.53 - lr: 0.050000
2023-04-06 01:07:30,821 epoch 59 - iter 2120/2650 - loss 0.06353745 - time (sec): 131.23 - samples/sec: 8917.64 - lr: 0.050000
2023-04-06 01:07:46,656 epoch 59 - iter 2385/2650 - loss 0.06355480 - time (sec): 147.06 - samples/sec: 8944.55 - lr: 0.050000
2023-04-06 01:08:02,981 epoch 59 - iter 2650/2650 - loss 0.06375859 - time (sec): 163.39 - samples/sec: 8950.26 - lr: 0.050000
2023-04-06 01:08:02,982 ----------------------------------------------------------------------------------------------------
2023-04-06 01:08:02,982 EPOCH 59 done: loss 0.0638 - lr 0.050000
2023-04-06 01:08:02,982 BAD EPOCHS (no improvement): 0
2023-04-06 01:08:02,985 ----------------------------------------------------------------------------------------------------
2023-04-06 01:08:18,989 epoch 60 - iter 265/2650 - loss 0.06098899 - time (sec): 16.00 - samples/sec: 9069.22 - lr: 0.050000
2023-04-06 01:08:35,050 epoch 60 - iter 530/2650 - loss 0.06256855 - time (sec): 32.06 - samples/sec: 9059.54 - lr: 0.050000
2023-04-06 01:08:51,430 epoch 60 - iter 795/2650 - loss 0.06333266 - time (sec): 48.45 - samples/sec: 9072.05 - lr: 0.050000
2023-04-06 01:09:07,334 epoch 60 - iter 1060/2650 - loss 0.06330356 - time (sec): 64.35 - samples/sec: 9108.82 - lr: 0.050000
2023-04-06 01:09:23,504 epoch 60 - iter 1325/2650 - loss 0.06309185 - time (sec): 80.52 - samples/sec: 9107.32 - lr: 0.050000
2023-04-06 01:09:39,360 epoch 60 - iter 1590/2650 - loss 0.06303579 - time (sec): 96.38 - samples/sec: 9115.37 - lr: 0.050000
2023-04-06 01:09:55,466 epoch 60 - iter 1855/2650 - loss 0.06297732 - time (sec): 112.48 - samples/sec: 9102.73 - lr: 0.050000
2023-04-06 01:10:11,153 epoch 60 - iter 2120/2650 - loss 0.06303573 - time (sec): 128.17 - samples/sec: 9114.21 - lr: 0.050000
2023-04-06 01:10:27,685 epoch 60 - iter 2385/2650 - loss 0.06293803 - time (sec): 144.70 - samples/sec: 9081.22 - lr: 0.050000
2023-04-06 01:10:44,275 epoch 60 - iter 2650/2650 - loss 0.06314470 - time (sec): 161.29 - samples/sec: 9066.65 - lr: 0.050000
2023-04-06 01:10:44,275 ----------------------------------------------------------------------------------------------------
2023-04-06 01:10:44,275 EPOCH 60 done: loss 0.0631 - lr 0.050000
2023-04-06 01:10:44,275 BAD EPOCHS (no improvement): 0
2023-04-06 01:10:44,278 ----------------------------------------------------------------------------------------------------
2023-04-06 01:11:00,512 epoch 61 - iter 265/2650 - loss 0.06293419 - time (sec): 16.23 - samples/sec: 9022.30 - lr: 0.050000
2023-04-06 01:11:17,175 epoch 61 - iter 530/2650 - loss 0.06280434 - time (sec): 32.90 - samples/sec: 8936.63 - lr: 0.050000
2023-04-06 01:11:33,692 epoch 61 - iter 795/2650 - loss 0.06241934 - time (sec): 49.41 - samples/sec: 8900.70 - lr: 0.050000
2023-04-06 01:11:50,359 epoch 61 - iter 1060/2650 - loss 0.06238001 - time (sec): 66.08 - samples/sec: 8878.44 - lr: 0.050000
2023-04-06 01:12:07,046 epoch 61 - iter 1325/2650 - loss 0.06237328 - time (sec): 82.77 - samples/sec: 8844.15 - lr: 0.050000
2023-04-06 01:12:23,973 epoch 61 - iter 1590/2650 - loss 0.06266110 - time (sec): 99.69 - samples/sec: 8818.44 - lr: 0.050000
2023-04-06 01:12:40,820 epoch 61 - iter 1855/2650 - loss 0.06295238 - time (sec): 116.54 - samples/sec: 8798.68 - lr: 0.050000
2023-04-06 01:12:57,486 epoch 61 - iter 2120/2650 - loss 0.06303165 - time (sec): 133.21 - samples/sec: 8800.82 - lr: 0.050000
2023-04-06 01:13:13,683 epoch 61 - iter 2385/2650 - loss 0.06315565 - time (sec): 149.40 - samples/sec: 8809.78 - lr: 0.050000
2023-04-06 01:13:30,306 epoch 61 - iter 2650/2650 - loss 0.06320975 - time (sec): 166.03 - samples/sec: 8807.94 - lr: 0.050000
2023-04-06 01:13:30,306 ----------------------------------------------------------------------------------------------------
2023-04-06 01:13:30,306 EPOCH 61 done: loss 0.0632 - lr 0.050000
2023-04-06 01:13:30,306 BAD EPOCHS (no improvement): 1
2023-04-06 01:13:30,310 ----------------------------------------------------------------------------------------------------
2023-04-06 01:13:46,632 epoch 62 - iter 265/2650 - loss 0.06346314 - time (sec): 16.32 - samples/sec: 8851.97 - lr: 0.050000
2023-04-06 01:14:02,925 epoch 62 - iter 530/2650 - loss 0.06298924 - time (sec): 32.61 - samples/sec: 8835.57 - lr: 0.050000
2023-04-06 01:14:19,761 epoch 62 - iter 795/2650 - loss 0.06206150 - time (sec): 49.45 - samples/sec: 8786.13 - lr: 0.050000
2023-04-06 01:14:36,301 epoch 62 - iter 1060/2650 - loss 0.06216341 - time (sec): 65.99 - samples/sec: 8817.56 - lr: 0.050000
2023-04-06 01:14:53,078 epoch 62 - iter 1325/2650 - loss 0.06247242 - time (sec): 82.77 - samples/sec: 8801.25 - lr: 0.050000
2023-04-06 01:15:09,534 epoch 62 - iter 1590/2650 - loss 0.06236921 - time (sec): 99.22 - samples/sec: 8836.11 - lr: 0.050000
2023-04-06 01:15:25,587 epoch 62 - iter 1855/2650 - loss 0.06217650 - time (sec): 115.28 - samples/sec: 8872.07 - lr: 0.050000
2023-04-06 01:15:41,401 epoch 62 - iter 2120/2650 - loss 0.06233810 - time (sec): 131.09 - samples/sec: 8917.13 - lr: 0.050000
2023-04-06 01:15:57,709 epoch 62 - iter 2385/2650 - loss 0.06234039 - time (sec): 147.40 - samples/sec: 8931.57 - lr: 0.050000
2023-04-06 01:16:13,903 epoch 62 - iter 2650/2650 - loss 0.06260336 - time (sec): 163.59 - samples/sec: 8939.03 - lr: 0.050000
2023-04-06 01:16:13,904 ----------------------------------------------------------------------------------------------------
2023-04-06 01:16:13,904 EPOCH 62 done: loss 0.0626 - lr 0.050000
2023-04-06 01:16:13,904 BAD EPOCHS (no improvement): 0
2023-04-06 01:16:13,907 ----------------------------------------------------------------------------------------------------
2023-04-06 01:16:30,660 epoch 63 - iter 265/2650 - loss 0.06150290 - time (sec): 16.75 - samples/sec: 8785.15 - lr: 0.050000
2023-04-06 01:16:47,041 epoch 63 - iter 530/2650 - loss 0.06167139 - time (sec): 33.13 - samples/sec: 8831.82 - lr: 0.050000
2023-04-06 01:17:03,553 epoch 63 - iter 795/2650 - loss 0.06187626 - time (sec): 49.65 - samples/sec: 8870.96 - lr: 0.050000
2023-04-06 01:17:19,084 epoch 63 - iter 1060/2650 - loss 0.06190421 - time (sec): 65.18 - samples/sec: 8962.37 - lr: 0.050000
2023-04-06 01:17:35,003 epoch 63 - iter 1325/2650 - loss 0.06206467 - time (sec): 81.10 - samples/sec: 8989.98 - lr: 0.050000
2023-04-06 01:17:51,058 epoch 63 - iter 1590/2650 - loss 0.06232163 - time (sec): 97.15 - samples/sec: 9006.42 - lr: 0.050000
2023-04-06 01:18:07,080 epoch 63 - iter 1855/2650 - loss 0.06222272 - time (sec): 113.17 - samples/sec: 9027.70 - lr: 0.050000
2023-04-06 01:18:23,184 epoch 63 - iter 2120/2650 - loss 0.06223582 - time (sec): 129.28 - samples/sec: 9035.88 - lr: 0.050000
2023-04-06 01:18:39,410 epoch 63 - iter 2385/2650 - loss 0.06217378 - time (sec): 145.50 - samples/sec: 9045.04 - lr: 0.050000
2023-04-06 01:18:55,348 epoch 63 - iter 2650/2650 - loss 0.06227138 - time (sec): 161.44 - samples/sec: 9058.19 - lr: 0.050000
2023-04-06 01:18:55,348 ----------------------------------------------------------------------------------------------------
2023-04-06 01:18:55,348 EPOCH 63 done: loss 0.0623 - lr 0.050000
2023-04-06 01:18:55,348 BAD EPOCHS (no improvement): 0
2023-04-06 01:18:55,352 ----------------------------------------------------------------------------------------------------
2023-04-06 01:19:11,821 epoch 64 - iter 265/2650 - loss 0.06169534 - time (sec): 16.47 - samples/sec: 9035.77 - lr: 0.050000
2023-04-06 01:19:27,998 epoch 64 - iter 530/2650 - loss 0.06226885 - time (sec): 32.65 - samples/sec: 9057.75 - lr: 0.050000
2023-04-06 01:19:43,920 epoch 64 - iter 795/2650 - loss 0.06127115 - time (sec): 48.57 - samples/sec: 9082.12 - lr: 0.050000
2023-04-06 01:20:00,160 epoch 64 - iter 1060/2650 - loss 0.06124305 - time (sec): 64.81 - samples/sec: 9051.88 - lr: 0.050000
2023-04-06 01:20:16,305 epoch 64 - iter 1325/2650 - loss 0.06171348 - time (sec): 80.95 - samples/sec: 9049.64 - lr: 0.050000
2023-04-06 01:20:32,532 epoch 64 - iter 1590/2650 - loss 0.06183581 - time (sec): 97.18 - samples/sec: 9028.54 - lr: 0.050000
2023-04-06 01:20:48,977 epoch 64 - iter 1855/2650 - loss 0.06203734 - time (sec): 113.62 - samples/sec: 9018.66 - lr: 0.050000
2023-04-06 01:21:04,981 epoch 64 - iter 2120/2650 - loss 0.06205273 - time (sec): 129.63 - samples/sec: 9022.34 - lr: 0.050000
2023-04-06 01:21:21,455 epoch 64 - iter 2385/2650 - loss 0.06208229 - time (sec): 146.10 - samples/sec: 8999.41 - lr: 0.050000
2023-04-06 01:21:38,396 epoch 64 - iter 2650/2650 - loss 0.06216693 - time (sec): 163.04 - samples/sec: 8969.12 - lr: 0.050000
2023-04-06 01:21:38,396 ----------------------------------------------------------------------------------------------------
2023-04-06 01:21:38,396 EPOCH 64 done: loss 0.0622 - lr 0.050000
2023-04-06 01:21:38,396 BAD EPOCHS (no improvement): 0
2023-04-06 01:21:38,400 ----------------------------------------------------------------------------------------------------
2023-04-06 01:21:54,499 epoch 65 - iter 265/2650 - loss 0.06166112 - time (sec): 16.10 - samples/sec: 9043.68 - lr: 0.050000
2023-04-06 01:22:11,218 epoch 65 - iter 530/2650 - loss 0.06162691 - time (sec): 32.82 - samples/sec: 8961.92 - lr: 0.050000
2023-04-06 01:22:27,742 epoch 65 - iter 795/2650 - loss 0.06230135 - time (sec): 49.34 - samples/sec: 8910.89 - lr: 0.050000
2023-04-06 01:22:43,884 epoch 65 - iter 1060/2650 - loss 0.06183367 - time (sec): 65.48 - samples/sec: 8950.39 - lr: 0.050000
2023-04-06 01:22:59,686 epoch 65 - iter 1325/2650 - loss 0.06173370 - time (sec): 81.29 - samples/sec: 8979.32 - lr: 0.050000
2023-04-06 01:23:16,060 epoch 65 - iter 1590/2650 - loss 0.06148030 - time (sec): 97.66 - samples/sec: 8990.92 - lr: 0.050000
2023-04-06 01:23:32,229 epoch 65 - iter 1855/2650 - loss 0.06138242 - time (sec): 113.83 - samples/sec: 9002.76 - lr: 0.050000
2023-04-06 01:23:48,904 epoch 65 - iter 2120/2650 - loss 0.06143373 - time (sec): 130.50 - samples/sec: 8982.01 - lr: 0.050000
2023-04-06 01:24:04,806 epoch 65 - iter 2385/2650 - loss 0.06175635 - time (sec): 146.41 - samples/sec: 9001.20 - lr: 0.050000
2023-04-06 01:24:20,926 epoch 65 - iter 2650/2650 - loss 0.06175597 - time (sec): 162.53 - samples/sec: 8997.71 - lr: 0.050000
2023-04-06 01:24:20,926 ----------------------------------------------------------------------------------------------------
2023-04-06 01:24:20,926 EPOCH 65 done: loss 0.0618 - lr 0.050000
2023-04-06 01:24:20,926 BAD EPOCHS (no improvement): 0
2023-04-06 01:24:20,930 ----------------------------------------------------------------------------------------------------
2023-04-06 01:24:36,962 epoch 66 - iter 265/2650 - loss 0.06103448 - time (sec): 16.03 - samples/sec: 9141.21 - lr: 0.050000
2023-04-06 01:24:53,457 epoch 66 - iter 530/2650 - loss 0.06142666 - time (sec): 32.53 - samples/sec: 9079.99 - lr: 0.050000
2023-04-06 01:25:09,324 epoch 66 - iter 795/2650 - loss 0.06205387 - time (sec): 48.39 - samples/sec: 9094.81 - lr: 0.050000
2023-04-06 01:25:26,247 epoch 66 - iter 1060/2650 - loss 0.06193977 - time (sec): 65.32 - samples/sec: 9001.52 - lr: 0.050000
2023-04-06 01:25:42,628 epoch 66 - iter 1325/2650 - loss 0.06162723 - time (sec): 81.70 - samples/sec: 8990.58 - lr: 0.050000
2023-04-06 01:25:59,006 epoch 66 - iter 1590/2650 - loss 0.06131877 - time (sec): 98.08 - samples/sec: 8992.12 - lr: 0.050000
2023-04-06 01:26:14,995 epoch 66 - iter 1855/2650 - loss 0.06152567 - time (sec): 114.06 - samples/sec: 8999.29 - lr: 0.050000
2023-04-06 01:26:31,271 epoch 66 - iter 2120/2650 - loss 0.06150824 - time (sec): 130.34 - samples/sec: 8994.79 - lr: 0.050000
2023-04-06 01:26:47,305 epoch 66 - iter 2385/2650 - loss 0.06160373 - time (sec): 146.37 - samples/sec: 9002.48 - lr: 0.050000
2023-04-06 01:27:03,175 epoch 66 - iter 2650/2650 - loss 0.06166272 - time (sec): 162.25 - samples/sec: 9013.30 - lr: 0.050000
2023-04-06 01:27:03,175 ----------------------------------------------------------------------------------------------------
2023-04-06 01:27:03,175 EPOCH 66 done: loss 0.0617 - lr 0.050000
2023-04-06 01:27:03,175 BAD EPOCHS (no improvement): 0
2023-04-06 01:27:03,178 ----------------------------------------------------------------------------------------------------
2023-04-06 01:27:19,270 epoch 67 - iter 265/2650 - loss 0.05917641 - time (sec): 16.09 - samples/sec: 9114.77 - lr: 0.050000
2023-04-06 01:27:35,660 epoch 67 - iter 530/2650 - loss 0.05964011 - time (sec): 32.48 - samples/sec: 9002.78 - lr: 0.050000
2023-04-06 01:27:51,971 epoch 67 - iter 795/2650 - loss 0.05975544 - time (sec): 48.79 - samples/sec: 8981.67 - lr: 0.050000
2023-04-06 01:28:07,905 epoch 67 - iter 1060/2650 - loss 0.06005651 - time (sec): 64.73 - samples/sec: 9005.75 - lr: 0.050000
2023-04-06 01:28:24,172 epoch 67 - iter 1325/2650 - loss 0.06017099 - time (sec): 80.99 - samples/sec: 9013.85 - lr: 0.050000
2023-04-06 01:28:40,716 epoch 67 - iter 1590/2650 - loss 0.06022262 - time (sec): 97.54 - samples/sec: 8984.62 - lr: 0.050000
2023-04-06 01:28:57,071 epoch 67 - iter 1855/2650 - loss 0.06028909 - time (sec): 113.89 - samples/sec: 8968.75 - lr: 0.050000
2023-04-06 01:29:13,174 epoch 67 - iter 2120/2650 - loss 0.06048325 - time (sec): 130.00 - samples/sec: 8976.18 - lr: 0.050000
2023-04-06 01:29:29,440 epoch 67 - iter 2385/2650 - loss 0.06049430 - time (sec): 146.26 - samples/sec: 8987.79 - lr: 0.050000
2023-04-06 01:29:45,868 epoch 67 - iter 2650/2650 - loss 0.06084306 - time (sec): 162.69 - samples/sec: 8988.66 - lr: 0.050000
2023-04-06 01:29:45,868 ----------------------------------------------------------------------------------------------------
2023-04-06 01:29:45,869 EPOCH 67 done: loss 0.0608 - lr 0.050000
2023-04-06 01:29:45,869 BAD EPOCHS (no improvement): 0
2023-04-06 01:29:45,872 ----------------------------------------------------------------------------------------------------
2023-04-06 01:30:01,972 epoch 68 - iter 265/2650 - loss 0.06028255 - time (sec): 16.10 - samples/sec: 9067.30 - lr: 0.050000
2023-04-06 01:30:18,191 epoch 68 - iter 530/2650 - loss 0.06015587 - time (sec): 32.32 - samples/sec: 9062.74 - lr: 0.050000
2023-04-06 01:30:34,443 epoch 68 - iter 795/2650 - loss 0.06016609 - time (sec): 48.57 - samples/sec: 9036.57 - lr: 0.050000
2023-04-06 01:30:50,740 epoch 68 - iter 1060/2650 - loss 0.06020456 - time (sec): 64.87 - samples/sec: 9017.94 - lr: 0.050000
2023-04-06 01:31:07,576 epoch 68 - iter 1325/2650 - loss 0.06053704 - time (sec): 81.70 - samples/sec: 8934.08 - lr: 0.050000
2023-04-06 01:31:24,427 epoch 68 - iter 1590/2650 - loss 0.06064265 - time (sec): 98.55 - samples/sec: 8898.39 - lr: 0.050000
2023-04-06 01:31:41,294 epoch 68 - iter 1855/2650 - loss 0.06047262 - time (sec): 115.42 - samples/sec: 8870.82 - lr: 0.050000
2023-04-06 01:31:57,751 epoch 68 - iter 2120/2650 - loss 0.06053524 - time (sec): 131.88 - samples/sec: 8858.72 - lr: 0.050000
2023-04-06 01:32:14,311 epoch 68 - iter 2385/2650 - loss 0.06081758 - time (sec): 148.44 - samples/sec: 8870.56 - lr: 0.050000
2023-04-06 01:32:30,544 epoch 68 - iter 2650/2650 - loss 0.06071750 - time (sec): 164.67 - samples/sec: 8880.48 - lr: 0.050000
2023-04-06 01:32:30,544 ----------------------------------------------------------------------------------------------------
2023-04-06 01:32:30,544 EPOCH 68 done: loss 0.0607 - lr 0.050000
2023-04-06 01:32:30,544 BAD EPOCHS (no improvement): 0
2023-04-06 01:32:30,548 ----------------------------------------------------------------------------------------------------
2023-04-06 01:32:46,974 epoch 69 - iter 265/2650 - loss 0.06161323 - time (sec): 16.43 - samples/sec: 8991.85 - lr: 0.050000
2023-04-06 01:33:03,048 epoch 69 - iter 530/2650 - loss 0.06159009 - time (sec): 32.50 - samples/sec: 9049.56 - lr: 0.050000
2023-04-06 01:33:19,440 epoch 69 - iter 795/2650 - loss 0.06051755 - time (sec): 48.89 - samples/sec: 8992.76 - lr: 0.050000
2023-04-06 01:33:35,993 epoch 69 - iter 1060/2650 - loss 0.06046268 - time (sec): 65.45 - samples/sec: 8985.19 - lr: 0.050000
2023-04-06 01:33:52,108 epoch 69 - iter 1325/2650 - loss 0.06071379 - time (sec): 81.56 - samples/sec: 9006.16 - lr: 0.050000
2023-04-06 01:34:08,377 epoch 69 - iter 1590/2650 - loss 0.06043658 - time (sec): 97.83 - samples/sec: 8995.70 - lr: 0.050000
2023-04-06 01:34:24,561 epoch 69 - iter 1855/2650 - loss 0.06035308 - time (sec): 114.01 - samples/sec: 9000.70 - lr: 0.050000
2023-04-06 01:34:40,567 epoch 69 - iter 2120/2650 - loss 0.06044831 - time (sec): 130.02 - samples/sec: 9005.03 - lr: 0.050000
2023-04-06 01:34:57,013 epoch 69 - iter 2385/2650 - loss 0.06055303 - time (sec): 146.46 - samples/sec: 8996.40 - lr: 0.050000
2023-04-06 01:35:13,058 epoch 69 - iter 2650/2650 - loss 0.06065909 - time (sec): 162.51 - samples/sec: 8998.61 - lr: 0.050000
2023-04-06 01:35:13,058 ----------------------------------------------------------------------------------------------------
2023-04-06 01:35:13,058 EPOCH 69 done: loss 0.0607 - lr 0.050000
2023-04-06 01:35:13,058 BAD EPOCHS (no improvement): 0
2023-04-06 01:35:13,061 ----------------------------------------------------------------------------------------------------
2023-04-06 01:35:29,219 epoch 70 - iter 265/2650 - loss 0.05861644 - time (sec): 16.16 - samples/sec: 8982.80 - lr: 0.050000
2023-04-06 01:35:45,873 epoch 70 - iter 530/2650 - loss 0.05956571 - time (sec): 32.81 - samples/sec: 8917.32 - lr: 0.050000
2023-04-06 01:36:02,727 epoch 70 - iter 795/2650 - loss 0.05914963 - time (sec): 49.67 - samples/sec: 8823.46 - lr: 0.050000
2023-04-06 01:36:19,504 epoch 70 - iter 1060/2650 - loss 0.05978476 - time (sec): 66.44 - samples/sec: 8797.61 - lr: 0.050000
2023-04-06 01:36:35,774 epoch 70 - iter 1325/2650 - loss 0.05975453 - time (sec): 82.71 - samples/sec: 8833.91 - lr: 0.050000
2023-04-06 01:36:52,546 epoch 70 - iter 1590/2650 - loss 0.05998397 - time (sec): 99.48 - samples/sec: 8813.36 - lr: 0.050000
2023-04-06 01:37:09,023 epoch 70 - iter 1855/2650 - loss 0.06032078 - time (sec): 115.96 - samples/sec: 8830.61 - lr: 0.050000
2023-04-06 01:37:25,465 epoch 70 - iter 2120/2650 - loss 0.06031182 - time (sec): 132.40 - samples/sec: 8844.45 - lr: 0.050000
2023-04-06 01:37:41,510 epoch 70 - iter 2385/2650 - loss 0.06037916 - time (sec): 148.45 - samples/sec: 8876.34 - lr: 0.050000
2023-04-06 01:37:57,481 epoch 70 - iter 2650/2650 - loss 0.06050754 - time (sec): 164.42 - samples/sec: 8894.11 - lr: 0.050000
2023-04-06 01:37:57,481 ----------------------------------------------------------------------------------------------------
2023-04-06 01:37:57,481 EPOCH 70 done: loss 0.0605 - lr 0.050000
2023-04-06 01:37:57,481 BAD EPOCHS (no improvement): 0
2023-04-06 01:37:57,484 ----------------------------------------------------------------------------------------------------
2023-04-06 01:38:14,060 epoch 71 - iter 265/2650 - loss 0.06131026 - time (sec): 16.58 - samples/sec: 9002.01 - lr: 0.050000
2023-04-06 01:38:30,098 epoch 71 - iter 530/2650 - loss 0.06119355 - time (sec): 32.61 - samples/sec: 9040.64 - lr: 0.050000
2023-04-06 01:38:46,475 epoch 71 - iter 795/2650 - loss 0.06160849 - time (sec): 48.99 - samples/sec: 9013.79 - lr: 0.050000
2023-04-06 01:39:02,410 epoch 71 - iter 1060/2650 - loss 0.06115794 - time (sec): 64.93 - samples/sec: 9024.48 - lr: 0.050000
2023-04-06 01:39:18,496 epoch 71 - iter 1325/2650 - loss 0.06084097 - time (sec): 81.01 - samples/sec: 9023.21 - lr: 0.050000
2023-04-06 01:39:34,150 epoch 71 - iter 1590/2650 - loss 0.06059540 - time (sec): 96.67 - samples/sec: 9062.00 - lr: 0.050000
2023-04-06 01:39:50,954 epoch 71 - iter 1855/2650 - loss 0.06082518 - time (sec): 113.47 - samples/sec: 9018.17 - lr: 0.050000
2023-04-06 01:40:07,263 epoch 71 - iter 2120/2650 - loss 0.06058173 - time (sec): 129.78 - samples/sec: 9019.98 - lr: 0.050000
2023-04-06 01:40:23,601 epoch 71 - iter 2385/2650 - loss 0.06050936 - time (sec): 146.12 - samples/sec: 9004.95 - lr: 0.050000
2023-04-06 01:40:40,187 epoch 71 - iter 2650/2650 - loss 0.06056603 - time (sec): 162.70 - samples/sec: 8987.90 - lr: 0.050000
2023-04-06 01:40:40,188 ----------------------------------------------------------------------------------------------------
2023-04-06 01:40:40,188 EPOCH 71 done: loss 0.0606 - lr 0.050000
2023-04-06 01:40:40,188 BAD EPOCHS (no improvement): 1
2023-04-06 01:40:40,190 ----------------------------------------------------------------------------------------------------
2023-04-06 01:40:56,475 epoch 72 - iter 265/2650 - loss 0.06164692 - time (sec): 16.28 - samples/sec: 9091.26 - lr: 0.050000
2023-04-06 01:41:12,830 epoch 72 - iter 530/2650 - loss 0.06130253 - time (sec): 32.64 - samples/sec: 8999.03 - lr: 0.050000
2023-04-06 01:41:29,404 epoch 72 - iter 795/2650 - loss 0.06144501 - time (sec): 49.21 - samples/sec: 8959.77 - lr: 0.050000
2023-04-06 01:41:45,701 epoch 72 - iter 1060/2650 - loss 0.06122972 - time (sec): 65.51 - samples/sec: 8948.59 - lr: 0.050000
2023-04-06 01:42:01,994 epoch 72 - iter 1325/2650 - loss 0.06094290 - time (sec): 81.80 - samples/sec: 8945.99 - lr: 0.050000
2023-04-06 01:42:18,443 epoch 72 - iter 1590/2650 - loss 0.06068940 - time (sec): 98.25 - samples/sec: 8935.80 - lr: 0.050000
2023-04-06 01:42:34,871 epoch 72 - iter 1855/2650 - loss 0.06072985 - time (sec): 114.68 - samples/sec: 8920.18 - lr: 0.050000
2023-04-06 01:42:50,988 epoch 72 - iter 2120/2650 - loss 0.06077031 - time (sec): 130.80 - samples/sec: 8932.94 - lr: 0.050000
2023-04-06 01:43:07,157 epoch 72 - iter 2385/2650 - loss 0.06076235 - time (sec): 146.97 - samples/sec: 8952.34 - lr: 0.050000
2023-04-06 01:43:23,132 epoch 72 - iter 2650/2650 - loss 0.06067344 - time (sec): 162.94 - samples/sec: 8974.76 - lr: 0.050000
2023-04-06 01:43:23,132 ----------------------------------------------------------------------------------------------------
2023-04-06 01:43:23,132 EPOCH 72 done: loss 0.0607 - lr 0.050000
2023-04-06 01:43:23,132 BAD EPOCHS (no improvement): 2
2023-04-06 01:43:23,136 ----------------------------------------------------------------------------------------------------
2023-04-06 01:43:39,034 epoch 73 - iter 265/2650 - loss 0.06099146 - time (sec): 15.90 - samples/sec: 9049.53 - lr: 0.050000
2023-04-06 01:43:55,804 epoch 73 - iter 530/2650 - loss 0.06106996 - time (sec): 32.67 - samples/sec: 8889.39 - lr: 0.050000
2023-04-06 01:44:12,774 epoch 73 - iter 795/2650 - loss 0.06051164 - time (sec): 49.64 - samples/sec: 8805.85 - lr: 0.050000
2023-04-06 01:44:29,182 epoch 73 - iter 1060/2650 - loss 0.06003651 - time (sec): 66.05 - samples/sec: 8837.08 - lr: 0.050000
2023-04-06 01:44:46,365 epoch 73 - iter 1325/2650 - loss 0.05983305 - time (sec): 83.23 - samples/sec: 8813.33 - lr: 0.050000
2023-04-06 01:45:03,209 epoch 73 - iter 1590/2650 - loss 0.05961804 - time (sec): 100.07 - samples/sec: 8792.00 - lr: 0.050000
2023-04-06 01:45:19,702 epoch 73 - iter 1855/2650 - loss 0.05969813 - time (sec): 116.57 - samples/sec: 8800.61 - lr: 0.050000
2023-04-06 01:45:35,949 epoch 73 - iter 2120/2650 - loss 0.05982067 - time (sec): 132.81 - samples/sec: 8825.77 - lr: 0.050000
2023-04-06 01:45:51,715 epoch 73 - iter 2385/2650 - loss 0.05976283 - time (sec): 148.58 - samples/sec: 8862.98 - lr: 0.050000
2023-04-06 01:46:07,944 epoch 73 - iter 2650/2650 - loss 0.05982782 - time (sec): 164.81 - samples/sec: 8873.14 - lr: 0.050000
2023-04-06 01:46:07,944 ----------------------------------------------------------------------------------------------------
2023-04-06 01:46:07,944 EPOCH 73 done: loss 0.0598 - lr 0.050000
2023-04-06 01:46:07,944 BAD EPOCHS (no improvement): 0
2023-04-06 01:46:07,948 ----------------------------------------------------------------------------------------------------
2023-04-06 01:46:24,225 epoch 74 - iter 265/2650 - loss 0.05735971 - time (sec): 16.28 - samples/sec: 8978.45 - lr: 0.050000
2023-04-06 01:46:40,115 epoch 74 - iter 530/2650 - loss 0.05747484 - time (sec): 32.17 - samples/sec: 9050.16 - lr: 0.050000
2023-04-06 01:46:56,415 epoch 74 - iter 795/2650 - loss 0.05808939 - time (sec): 48.47 - samples/sec: 9043.27 - lr: 0.050000
2023-04-06 01:47:13,142 epoch 74 - iter 1060/2650 - loss 0.05885597 - time (sec): 65.19 - samples/sec: 8994.50 - lr: 0.050000
2023-04-06 01:47:28,778 epoch 74 - iter 1325/2650 - loss 0.05883148 - time (sec): 80.83 - samples/sec: 9018.28 - lr: 0.050000
2023-04-06 01:47:44,823 epoch 74 - iter 1590/2650 - loss 0.05939549 - time (sec): 96.87 - samples/sec: 9041.64 - lr: 0.050000
2023-04-06 01:48:01,152 epoch 74 - iter 1855/2650 - loss 0.05979969 - time (sec): 113.20 - samples/sec: 9037.97 - lr: 0.050000
2023-04-06 01:48:18,229 epoch 74 - iter 2120/2650 - loss 0.05993982 - time (sec): 130.28 - samples/sec: 8979.36 - lr: 0.050000
2023-04-06 01:48:34,609 epoch 74 - iter 2385/2650 - loss 0.05984521 - time (sec): 146.66 - samples/sec: 8973.36 - lr: 0.050000
2023-04-06 01:48:50,958 epoch 74 - iter 2650/2650 - loss 0.05982666 - time (sec): 163.01 - samples/sec: 8970.99 - lr: 0.050000
2023-04-06 01:48:50,958 ----------------------------------------------------------------------------------------------------
2023-04-06 01:48:50,958 EPOCH 74 done: loss 0.0598 - lr 0.050000
2023-04-06 01:48:50,958 BAD EPOCHS (no improvement): 0
2023-04-06 01:48:50,965 ----------------------------------------------------------------------------------------------------
2023-04-06 01:49:07,370 epoch 75 - iter 265/2650 - loss 0.05694838 - time (sec): 16.40 - samples/sec: 8927.41 - lr: 0.050000
2023-04-06 01:49:23,208 epoch 75 - iter 530/2650 - loss 0.05810694 - time (sec): 32.24 - samples/sec: 9040.88 - lr: 0.050000
2023-04-06 01:49:39,421 epoch 75 - iter 795/2650 - loss 0.05843146 - time (sec): 48.46 - samples/sec: 9031.11 - lr: 0.050000
2023-04-06 01:49:55,375 epoch 75 - iter 1060/2650 - loss 0.05893091 - time (sec): 64.41 - samples/sec: 9062.00 - lr: 0.050000
2023-04-06 01:50:11,621 epoch 75 - iter 1325/2650 - loss 0.05882014 - time (sec): 80.66 - samples/sec: 9076.29 - lr: 0.050000
2023-04-06 01:50:28,146 epoch 75 - iter 1590/2650 - loss 0.05894786 - time (sec): 97.18 - samples/sec: 9049.83 - lr: 0.050000
2023-04-06 01:50:44,453 epoch 75 - iter 1855/2650 - loss 0.05891400 - time (sec): 113.49 - samples/sec: 9035.75 - lr: 0.050000
2023-04-06 01:51:00,739 epoch 75 - iter 2120/2650 - loss 0.05903692 - time (sec): 129.77 - samples/sec: 9018.00 - lr: 0.050000
2023-04-06 01:51:16,978 epoch 75 - iter 2385/2650 - loss 0.05926021 - time (sec): 146.01 - samples/sec: 9009.16 - lr: 0.050000
2023-04-06 01:51:33,220 epoch 75 - iter 2650/2650 - loss 0.05925629 - time (sec): 162.25 - samples/sec: 9012.77 - lr: 0.050000
2023-04-06 01:51:33,220 ----------------------------------------------------------------------------------------------------
2023-04-06 01:51:33,220 EPOCH 75 done: loss 0.0593 - lr 0.050000
2023-04-06 01:51:33,220 BAD EPOCHS (no improvement): 0
2023-04-06 01:51:33,224 ----------------------------------------------------------------------------------------------------
2023-04-06 01:51:49,525 epoch 76 - iter 265/2650 - loss 0.05986622 - time (sec): 16.30 - samples/sec: 8978.42 - lr: 0.050000
2023-04-06 01:52:05,990 epoch 76 - iter 530/2650 - loss 0.05926669 - time (sec): 32.77 - samples/sec: 8960.89 - lr: 0.050000
2023-04-06 01:52:21,968 epoch 76 - iter 795/2650 - loss 0.05963733 - time (sec): 48.74 - samples/sec: 9016.83 - lr: 0.050000
2023-04-06 01:52:37,782 epoch 76 - iter 1060/2650 - loss 0.05951153 - time (sec): 64.56 - samples/sec: 9028.80 - lr: 0.050000
2023-04-06 01:52:53,946 epoch 76 - iter 1325/2650 - loss 0.05947104 - time (sec): 80.72 - samples/sec: 9037.03 - lr: 0.050000
2023-04-06 01:53:10,053 epoch 76 - iter 1590/2650 - loss 0.05953152 - time (sec): 96.83 - samples/sec: 9032.03 - lr: 0.050000
2023-04-06 01:53:26,285 epoch 76 - iter 1855/2650 - loss 0.05939834 - time (sec): 113.06 - samples/sec: 9042.34 - lr: 0.050000
2023-04-06 01:53:42,396 epoch 76 - iter 2120/2650 - loss 0.05918680 - time (sec): 129.17 - samples/sec: 9042.56 - lr: 0.050000
2023-04-06 01:53:58,596 epoch 76 - iter 2385/2650 - loss 0.05929541 - time (sec): 145.37 - samples/sec: 9050.68 - lr: 0.050000
2023-04-06 01:54:15,227 epoch 76 - iter 2650/2650 - loss 0.05941601 - time (sec): 162.00 - samples/sec: 9026.73 - lr: 0.050000
2023-04-06 01:54:15,228 ----------------------------------------------------------------------------------------------------
2023-04-06 01:54:15,228 EPOCH 76 done: loss 0.0594 - lr 0.050000
2023-04-06 01:54:15,228 BAD EPOCHS (no improvement): 1
2023-04-06 01:54:15,231 ----------------------------------------------------------------------------------------------------
2023-04-06 01:54:31,587 epoch 77 - iter 265/2650 - loss 0.05958609 - time (sec): 16.36 - samples/sec: 9049.28 - lr: 0.050000
2023-04-06 01:54:47,652 epoch 77 - iter 530/2650 - loss 0.05895801 - time (sec): 32.42 - samples/sec: 9037.94 - lr: 0.050000
2023-04-06 01:55:03,523 epoch 77 - iter 795/2650 - loss 0.05826808 - time (sec): 48.29 - samples/sec: 9051.83 - lr: 0.050000
2023-04-06 01:55:19,883 epoch 77 - iter 1060/2650 - loss 0.05846582 - time (sec): 64.65 - samples/sec: 9015.05 - lr: 0.050000
2023-04-06 01:55:36,037 epoch 77 - iter 1325/2650 - loss 0.05903776 - time (sec): 80.81 - samples/sec: 9045.43 - lr: 0.050000
2023-04-06 01:55:52,285 epoch 77 - iter 1590/2650 - loss 0.05909274 - time (sec): 97.05 - samples/sec: 9054.55 - lr: 0.050000
2023-04-06 01:56:08,614 epoch 77 - iter 1855/2650 - loss 0.05919032 - time (sec): 113.38 - samples/sec: 9051.67 - lr: 0.050000
2023-04-06 01:56:24,745 epoch 77 - iter 2120/2650 - loss 0.05927894 - time (sec): 129.51 - samples/sec: 9033.64 - lr: 0.050000
2023-04-06 01:56:40,856 epoch 77 - iter 2385/2650 - loss 0.05914626 - time (sec): 145.62 - samples/sec: 9043.56 - lr: 0.050000
2023-04-06 01:56:57,234 epoch 77 - iter 2650/2650 - loss 0.05928229 - time (sec): 162.00 - samples/sec: 9026.80 - lr: 0.050000
2023-04-06 01:56:57,234 ----------------------------------------------------------------------------------------------------
2023-04-06 01:56:57,234 EPOCH 77 done: loss 0.0593 - lr 0.050000
2023-04-06 01:56:57,234 BAD EPOCHS (no improvement): 2
2023-04-06 01:56:57,237 ----------------------------------------------------------------------------------------------------
2023-04-06 01:57:13,189 epoch 78 - iter 265/2650 - loss 0.06083712 - time (sec): 15.95 - samples/sec: 9147.83 - lr: 0.050000
2023-04-06 01:57:30,121 epoch 78 - iter 530/2650 - loss 0.05894702 - time (sec): 32.88 - samples/sec: 8962.18 - lr: 0.050000
2023-04-06 01:57:46,482 epoch 78 - iter 795/2650 - loss 0.05949651 - time (sec): 49.24 - samples/sec: 8949.97 - lr: 0.050000
2023-04-06 01:58:02,811 epoch 78 - iter 1060/2650 - loss 0.05905914 - time (sec): 65.57 - samples/sec: 8943.70 - lr: 0.050000
2023-04-06 01:58:19,796 epoch 78 - iter 1325/2650 - loss 0.05905131 - time (sec): 82.56 - samples/sec: 8872.05 - lr: 0.050000
2023-04-06 01:58:36,455 epoch 78 - iter 1590/2650 - loss 0.05897515 - time (sec): 99.22 - samples/sec: 8864.67 - lr: 0.050000
2023-04-06 01:58:52,817 epoch 78 - iter 1855/2650 - loss 0.05905339 - time (sec): 115.58 - samples/sec: 8878.73 - lr: 0.050000
2023-04-06 01:59:09,134 epoch 78 - iter 2120/2650 - loss 0.05899531 - time (sec): 131.90 - samples/sec: 8874.53 - lr: 0.050000
2023-04-06 01:59:25,049 epoch 78 - iter 2385/2650 - loss 0.05880263 - time (sec): 147.81 - samples/sec: 8902.88 - lr: 0.050000
2023-04-06 01:59:41,066 epoch 78 - iter 2650/2650 - loss 0.05901085 - time (sec): 163.83 - samples/sec: 8926.15 - lr: 0.050000
2023-04-06 01:59:41,066 ----------------------------------------------------------------------------------------------------
2023-04-06 01:59:41,066 EPOCH 78 done: loss 0.0590 - lr 0.050000
2023-04-06 01:59:41,066 BAD EPOCHS (no improvement): 0
2023-04-06 01:59:41,069 ----------------------------------------------------------------------------------------------------
2023-04-06 01:59:57,059 epoch 79 - iter 265/2650 - loss 0.05688903 - time (sec): 15.99 - samples/sec: 9160.58 - lr: 0.050000
2023-04-06 02:00:13,704 epoch 79 - iter 530/2650 - loss 0.05744581 - time (sec): 32.64 - samples/sec: 8954.85 - lr: 0.050000
2023-04-06 02:00:29,900 epoch 79 - iter 795/2650 - loss 0.05823708 - time (sec): 48.83 - samples/sec: 8947.33 - lr: 0.050000
2023-04-06 02:00:46,157 epoch 79 - iter 1060/2650 - loss 0.05803658 - time (sec): 65.09 - samples/sec: 8960.61 - lr: 0.050000
2023-04-06 02:01:02,617 epoch 79 - iter 1325/2650 - loss 0.05855100 - time (sec): 81.55 - samples/sec: 8948.00 - lr: 0.050000
2023-04-06 02:01:18,463 epoch 79 - iter 1590/2650 - loss 0.05864862 - time (sec): 97.39 - samples/sec: 8978.70 - lr: 0.050000
2023-04-06 02:01:34,905 epoch 79 - iter 1855/2650 - loss 0.05845558 - time (sec): 113.84 - samples/sec: 8969.76 - lr: 0.050000
2023-04-06 02:01:50,872 epoch 79 - iter 2120/2650 - loss 0.05847739 - time (sec): 129.80 - samples/sec: 8991.79 - lr: 0.050000
2023-04-06 02:02:07,627 epoch 79 - iter 2385/2650 - loss 0.05868018 - time (sec): 146.56 - samples/sec: 8972.90 - lr: 0.050000
2023-04-06 02:02:24,039 epoch 79 - iter 2650/2650 - loss 0.05888992 - time (sec): 162.97 - samples/sec: 8973.22 - lr: 0.050000
2023-04-06 02:02:24,039 ----------------------------------------------------------------------------------------------------
2023-04-06 02:02:24,039 EPOCH 79 done: loss 0.0589 - lr 0.050000
2023-04-06 02:02:24,039 BAD EPOCHS (no improvement): 0
2023-04-06 02:02:24,044 ----------------------------------------------------------------------------------------------------
2023-04-06 02:02:40,640 epoch 80 - iter 265/2650 - loss 0.05676551 - time (sec): 16.60 - samples/sec: 8807.57 - lr: 0.050000
2023-04-06 02:02:57,950 epoch 80 - iter 530/2650 - loss 0.05677399 - time (sec): 33.91 - samples/sec: 8680.90 - lr: 0.050000
2023-04-06 02:03:14,866 epoch 80 - iter 795/2650 - loss 0.05743720 - time (sec): 50.82 - samples/sec: 8666.32 - lr: 0.050000
2023-04-06 02:03:30,753 epoch 80 - iter 1060/2650 - loss 0.05765375 - time (sec): 66.71 - samples/sec: 8777.53 - lr: 0.050000
2023-04-06 02:03:46,362 epoch 80 - iter 1325/2650 - loss 0.05798388 - time (sec): 82.32 - samples/sec: 8877.04 - lr: 0.050000
2023-04-06 02:04:01,853 epoch 80 - iter 1590/2650 - loss 0.05816961 - time (sec): 97.81 - samples/sec: 8952.72 - lr: 0.050000
2023-04-06 02:04:17,705 epoch 80 - iter 1855/2650 - loss 0.05846233 - time (sec): 113.66 - samples/sec: 8994.11 - lr: 0.050000
2023-04-06 02:04:34,039 epoch 80 - iter 2120/2650 - loss 0.05852990 - time (sec): 129.99 - samples/sec: 8988.36 - lr: 0.050000
2023-04-06 02:04:50,278 epoch 80 - iter 2385/2650 - loss 0.05848368 - time (sec): 146.23 - samples/sec: 8995.98 - lr: 0.050000
2023-04-06 02:05:06,614 epoch 80 - iter 2650/2650 - loss 0.05858013 - time (sec): 162.57 - samples/sec: 8995.32 - lr: 0.050000
2023-04-06 02:05:06,614 ----------------------------------------------------------------------------------------------------
2023-04-06 02:05:06,614 EPOCH 80 done: loss 0.0586 - lr 0.050000
2023-04-06 02:05:06,614 BAD EPOCHS (no improvement): 0
2023-04-06 02:05:06,618 ----------------------------------------------------------------------------------------------------
2023-04-06 02:05:23,400 epoch 81 - iter 265/2650 - loss 0.05862800 - time (sec): 16.78 - samples/sec: 8772.63 - lr: 0.050000
2023-04-06 02:05:39,757 epoch 81 - iter 530/2650 - loss 0.06013750 - time (sec): 33.14 - samples/sec: 8857.61 - lr: 0.050000
2023-04-06 02:05:56,158 epoch 81 - iter 795/2650 - loss 0.05994708 - time (sec): 49.54 - samples/sec: 8882.63 - lr: 0.050000
2023-04-06 02:06:12,273 epoch 81 - iter 1060/2650 - loss 0.05962611 - time (sec): 65.65 - samples/sec: 8939.19 - lr: 0.050000
2023-04-06 02:06:28,170 epoch 81 - iter 1325/2650 - loss 0.05903866 - time (sec): 81.55 - samples/sec: 8994.22 - lr: 0.050000
2023-04-06 02:06:44,328 epoch 81 - iter 1590/2650 - loss 0.05887945 - time (sec): 97.71 - samples/sec: 8995.50 - lr: 0.050000
2023-04-06 02:07:00,370 epoch 81 - iter 1855/2650 - loss 0.05893075 - time (sec): 113.75 - samples/sec: 9018.34 - lr: 0.050000
2023-04-06 02:07:16,456 epoch 81 - iter 2120/2650 - loss 0.05871074 - time (sec): 129.84 - samples/sec: 9019.61 - lr: 0.050000
2023-04-06 02:07:32,824 epoch 81 - iter 2385/2650 - loss 0.05866572 - time (sec): 146.21 - samples/sec: 9012.56 - lr: 0.050000
2023-04-06 02:07:48,883 epoch 81 - iter 2650/2650 - loss 0.05857376 - time (sec): 162.26 - samples/sec: 9012.21 - lr: 0.050000
2023-04-06 02:07:48,883 ----------------------------------------------------------------------------------------------------
2023-04-06 02:07:48,883 EPOCH 81 done: loss 0.0586 - lr 0.050000
2023-04-06 02:07:48,884 BAD EPOCHS (no improvement): 0
2023-04-06 02:07:48,887 ----------------------------------------------------------------------------------------------------
2023-04-06 02:08:04,976 epoch 82 - iter 265/2650 - loss 0.05797303 - time (sec): 16.09 - samples/sec: 9034.35 - lr: 0.050000
2023-04-06 02:08:21,019 epoch 82 - iter 530/2650 - loss 0.05870079 - time (sec): 32.13 - samples/sec: 9051.34 - lr: 0.050000
2023-04-06 02:08:37,457 epoch 82 - iter 795/2650 - loss 0.05845008 - time (sec): 48.57 - samples/sec: 9001.67 - lr: 0.050000
2023-04-06 02:08:53,773 epoch 82 - iter 1060/2650 - loss 0.05828115 - time (sec): 64.89 - samples/sec: 9011.63 - lr: 0.050000
2023-04-06 02:09:09,906 epoch 82 - iter 1325/2650 - loss 0.05831614 - time (sec): 81.02 - samples/sec: 9010.39 - lr: 0.050000
2023-04-06 02:09:26,171 epoch 82 - iter 1590/2650 - loss 0.05852519 - time (sec): 97.28 - samples/sec: 8995.89 - lr: 0.050000
2023-04-06 02:09:42,882 epoch 82 - iter 1855/2650 - loss 0.05844158 - time (sec): 113.99 - samples/sec: 8979.35 - lr: 0.050000
2023-04-06 02:09:59,107 epoch 82 - iter 2120/2650 - loss 0.05841816 - time (sec): 130.22 - samples/sec: 8979.44 - lr: 0.050000
2023-04-06 02:10:15,186 epoch 82 - iter 2385/2650 - loss 0.05838704 - time (sec): 146.30 - samples/sec: 8986.88 - lr: 0.050000
2023-04-06 02:10:31,417 epoch 82 - iter 2650/2650 - loss 0.05859043 - time (sec): 162.53 - samples/sec: 8997.53 - lr: 0.050000
2023-04-06 02:10:31,417 ----------------------------------------------------------------------------------------------------
2023-04-06 02:10:31,417 EPOCH 82 done: loss 0.0586 - lr 0.050000
2023-04-06 02:10:31,417 BAD EPOCHS (no improvement): 1
2023-04-06 02:10:31,421 ----------------------------------------------------------------------------------------------------
2023-04-06 02:10:47,544 epoch 83 - iter 265/2650 - loss 0.05711498 - time (sec): 16.12 - samples/sec: 8945.73 - lr: 0.050000
2023-04-06 02:11:03,853 epoch 83 - iter 530/2650 - loss 0.05761394 - time (sec): 32.43 - samples/sec: 9014.68 - lr: 0.050000
2023-04-06 02:11:19,976 epoch 83 - iter 795/2650 - loss 0.05823418 - time (sec): 48.55 - samples/sec: 9002.09 - lr: 0.050000
2023-04-06 02:11:36,142 epoch 83 - iter 1060/2650 - loss 0.05817542 - time (sec): 64.72 - samples/sec: 9031.04 - lr: 0.050000
2023-04-06 02:11:52,510 epoch 83 - iter 1325/2650 - loss 0.05814698 - time (sec): 81.09 - samples/sec: 9024.02 - lr: 0.050000
2023-04-06 02:12:08,921 epoch 83 - iter 1590/2650 - loss 0.05827530 - time (sec): 97.50 - samples/sec: 9005.81 - lr: 0.050000
2023-04-06 02:12:25,263 epoch 83 - iter 1855/2650 - loss 0.05845873 - time (sec): 113.84 - samples/sec: 9009.70 - lr: 0.050000
2023-04-06 02:12:41,571 epoch 83 - iter 2120/2650 - loss 0.05862116 - time (sec): 130.15 - samples/sec: 9011.60 - lr: 0.050000
2023-04-06 02:12:57,633 epoch 83 - iter 2385/2650 - loss 0.05863652 - time (sec): 146.21 - samples/sec: 9010.52 - lr: 0.050000
2023-04-06 02:13:13,681 epoch 83 - iter 2650/2650 - loss 0.05869637 - time (sec): 162.26 - samples/sec: 9012.44 - lr: 0.050000
2023-04-06 02:13:13,681 ----------------------------------------------------------------------------------------------------
2023-04-06 02:13:13,681 EPOCH 83 done: loss 0.0587 - lr 0.050000
2023-04-06 02:13:13,681 BAD EPOCHS (no improvement): 2
2023-04-06 02:13:13,685 ----------------------------------------------------------------------------------------------------
2023-04-06 02:13:30,159 epoch 84 - iter 265/2650 - loss 0.05924134 - time (sec): 16.47 - samples/sec: 9047.15 - lr: 0.050000
2023-04-06 02:13:46,350 epoch 84 - iter 530/2650 - loss 0.05762167 - time (sec): 32.66 - samples/sec: 8997.02 - lr: 0.050000
2023-04-06 02:14:02,771 epoch 84 - iter 795/2650 - loss 0.05755454 - time (sec): 49.09 - samples/sec: 9012.06 - lr: 0.050000
2023-04-06 02:14:19,036 epoch 84 - iter 1060/2650 - loss 0.05750750 - time (sec): 65.35 - samples/sec: 8984.58 - lr: 0.050000
2023-04-06 02:14:35,548 epoch 84 - iter 1325/2650 - loss 0.05785789 - time (sec): 81.86 - samples/sec: 8970.91 - lr: 0.050000
2023-04-06 02:14:51,308 epoch 84 - iter 1590/2650 - loss 0.05795300 - time (sec): 97.62 - samples/sec: 9017.56 - lr: 0.050000
2023-04-06 02:15:07,702 epoch 84 - iter 1855/2650 - loss 0.05803472 - time (sec): 114.02 - samples/sec: 9008.98 - lr: 0.050000
2023-04-06 02:15:24,058 epoch 84 - iter 2120/2650 - loss 0.05809299 - time (sec): 130.37 - samples/sec: 9004.56 - lr: 0.050000
2023-04-06 02:15:39,960 epoch 84 - iter 2385/2650 - loss 0.05802766 - time (sec): 146.27 - samples/sec: 9004.67 - lr: 0.050000
2023-04-06 02:15:56,214 epoch 84 - iter 2650/2650 - loss 0.05806697 - time (sec): 162.53 - samples/sec: 8997.53 - lr: 0.050000
2023-04-06 02:15:56,215 ----------------------------------------------------------------------------------------------------
2023-04-06 02:15:56,215 EPOCH 84 done: loss 0.0581 - lr 0.050000
2023-04-06 02:15:56,215 BAD EPOCHS (no improvement): 0
2023-04-06 02:15:56,217 ----------------------------------------------------------------------------------------------------
2023-04-06 02:16:12,457 epoch 85 - iter 265/2650 - loss 0.05739775 - time (sec): 16.24 - samples/sec: 9013.54 - lr: 0.050000
2023-04-06 02:16:28,601 epoch 85 - iter 530/2650 - loss 0.05738509 - time (sec): 32.38 - samples/sec: 9048.29 - lr: 0.050000
2023-04-06 02:16:45,039 epoch 85 - iter 795/2650 - loss 0.05751892 - time (sec): 48.82 - samples/sec: 9000.33 - lr: 0.050000
2023-04-06 02:17:01,242 epoch 85 - iter 1060/2650 - loss 0.05748777 - time (sec): 65.02 - samples/sec: 9000.92 - lr: 0.050000
2023-04-06 02:17:17,726 epoch 85 - iter 1325/2650 - loss 0.05779613 - time (sec): 81.51 - samples/sec: 8976.78 - lr: 0.050000
2023-04-06 02:17:34,049 epoch 85 - iter 1590/2650 - loss 0.05795797 - time (sec): 97.83 - samples/sec: 8979.43 - lr: 0.050000
2023-04-06 02:17:50,097 epoch 85 - iter 1855/2650 - loss 0.05803166 - time (sec): 113.88 - samples/sec: 8992.14 - lr: 0.050000
2023-04-06 02:18:06,210 epoch 85 - iter 2120/2650 - loss 0.05795077 - time (sec): 129.99 - samples/sec: 9006.17 - lr: 0.050000
2023-04-06 02:18:22,656 epoch 85 - iter 2385/2650 - loss 0.05784696 - time (sec): 146.44 - samples/sec: 8990.38 - lr: 0.050000
2023-04-06 02:18:39,362 epoch 85 - iter 2650/2650 - loss 0.05798299 - time (sec): 163.14 - samples/sec: 8963.58 - lr: 0.050000
2023-04-06 02:18:39,363 ----------------------------------------------------------------------------------------------------
2023-04-06 02:18:39,363 EPOCH 85 done: loss 0.0580 - lr 0.050000
2023-04-06 02:18:39,363 BAD EPOCHS (no improvement): 0
2023-04-06 02:18:39,366 ----------------------------------------------------------------------------------------------------
2023-04-06 02:18:56,035 epoch 86 - iter 265/2650 - loss 0.05678638 - time (sec): 16.67 - samples/sec: 8758.66 - lr: 0.050000
2023-04-06 02:19:12,694 epoch 86 - iter 530/2650 - loss 0.05614176 - time (sec): 33.33 - samples/sec: 8764.71 - lr: 0.050000
2023-04-06 02:19:29,221 epoch 86 - iter 795/2650 - loss 0.05639633 - time (sec): 49.86 - samples/sec: 8804.86 - lr: 0.050000
2023-04-06 02:19:45,281 epoch 86 - iter 1060/2650 - loss 0.05717778 - time (sec): 65.92 - samples/sec: 8887.07 - lr: 0.050000
2023-04-06 02:20:01,740 epoch 86 - iter 1325/2650 - loss 0.05726211 - time (sec): 82.37 - samples/sec: 8909.84 - lr: 0.050000
2023-04-06 02:20:18,642 epoch 86 - iter 1590/2650 - loss 0.05737872 - time (sec): 99.28 - samples/sec: 8885.88 - lr: 0.050000
2023-04-06 02:20:35,213 epoch 86 - iter 1855/2650 - loss 0.05761324 - time (sec): 115.85 - samples/sec: 8878.96 - lr: 0.050000
2023-04-06 02:21:02,527 epoch 86 - iter 2120/2650 - loss 0.05773926 - time (sec): 143.16 - samples/sec: 8184.42 - lr: 0.050000
2023-04-06 02:21:19,157 epoch 86 - iter 2385/2650 - loss 0.05790347 - time (sec): 159.79 - samples/sec: 8248.94 - lr: 0.050000
2023-04-06 02:21:35,344 epoch 86 - iter 2650/2650 - loss 0.05783863 - time (sec): 175.98 - samples/sec: 8309.92 - lr: 0.050000
2023-04-06 02:21:35,344 ----------------------------------------------------------------------------------------------------
2023-04-06 02:21:35,344 EPOCH 86 done: loss 0.0578 - lr 0.050000
2023-04-06 02:21:35,344 BAD EPOCHS (no improvement): 0
2023-04-06 02:21:35,348 ----------------------------------------------------------------------------------------------------
2023-04-06 02:21:51,580 epoch 87 - iter 265/2650 - loss 0.05630755 - time (sec): 16.23 - samples/sec: 8935.03 - lr: 0.050000
2023-04-06 02:22:07,861 epoch 87 - iter 530/2650 - loss 0.05666281 - time (sec): 32.51 - samples/sec: 8947.39 - lr: 0.050000
2023-04-06 02:22:24,184 epoch 87 - iter 795/2650 - loss 0.05700832 - time (sec): 48.84 - samples/sec: 8948.10 - lr: 0.050000
2023-04-06 02:22:40,568 epoch 87 - iter 1060/2650 - loss 0.05733437 - time (sec): 65.22 - samples/sec: 8926.49 - lr: 0.050000
2023-04-06 02:22:57,304 epoch 87 - iter 1325/2650 - loss 0.05726032 - time (sec): 81.96 - samples/sec: 8891.66 - lr: 0.050000
2023-04-06 02:23:14,019 epoch 87 - iter 1590/2650 - loss 0.05734165 - time (sec): 98.67 - samples/sec: 8884.69 - lr: 0.050000
2023-04-06 02:23:30,333 epoch 87 - iter 1855/2650 - loss 0.05737843 - time (sec): 114.99 - samples/sec: 8897.59 - lr: 0.050000
2023-04-06 02:23:46,657 epoch 87 - iter 2120/2650 - loss 0.05775036 - time (sec): 131.31 - samples/sec: 8920.01 - lr: 0.050000
2023-04-06 02:24:02,954 epoch 87 - iter 2385/2650 - loss 0.05787382 - time (sec): 147.61 - samples/sec: 8921.00 - lr: 0.050000
2023-04-06 02:24:19,254 epoch 87 - iter 2650/2650 - loss 0.05805514 - time (sec): 163.91 - samples/sec: 8921.93 - lr: 0.050000
2023-04-06 02:24:19,254 ----------------------------------------------------------------------------------------------------
2023-04-06 02:24:19,255 EPOCH 87 done: loss 0.0581 - lr 0.050000
2023-04-06 02:24:19,255 BAD EPOCHS (no improvement): 1
2023-04-06 02:24:19,257 ----------------------------------------------------------------------------------------------------
2023-04-06 02:24:35,245 epoch 88 - iter 265/2650 - loss 0.05704922 - time (sec): 15.99 - samples/sec: 9117.14 - lr: 0.050000
2023-04-06 02:24:51,679 epoch 88 - iter 530/2650 - loss 0.05838429 - time (sec): 32.42 - samples/sec: 8992.42 - lr: 0.050000
2023-04-06 02:25:08,174 epoch 88 - iter 795/2650 - loss 0.05812453 - time (sec): 48.92 - samples/sec: 8973.78 - lr: 0.050000
2023-04-06 02:25:24,357 epoch 88 - iter 1060/2650 - loss 0.05801985 - time (sec): 65.10 - samples/sec: 8981.88 - lr: 0.050000
2023-04-06 02:25:40,303 epoch 88 - iter 1325/2650 - loss 0.05768619 - time (sec): 81.05 - samples/sec: 8996.14 - lr: 0.050000
2023-04-06 02:25:56,933 epoch 88 - iter 1590/2650 - loss 0.05805175 - time (sec): 97.68 - samples/sec: 8960.21 - lr: 0.050000
2023-04-06 02:26:13,758 epoch 88 - iter 1855/2650 - loss 0.05806941 - time (sec): 114.50 - samples/sec: 8928.80 - lr: 0.050000
2023-04-06 02:26:29,971 epoch 88 - iter 2120/2650 - loss 0.05795698 - time (sec): 130.71 - samples/sec: 8930.26 - lr: 0.050000
2023-04-06 02:26:46,660 epoch 88 - iter 2385/2650 - loss 0.05792952 - time (sec): 147.40 - samples/sec: 8925.11 - lr: 0.050000
2023-04-06 02:27:03,210 epoch 88 - iter 2650/2650 - loss 0.05790648 - time (sec): 163.95 - samples/sec: 8919.44 - lr: 0.050000
2023-04-06 02:27:03,210 ----------------------------------------------------------------------------------------------------
2023-04-06 02:27:03,210 EPOCH 88 done: loss 0.0579 - lr 0.050000
2023-04-06 02:27:03,210 BAD EPOCHS (no improvement): 2
2023-04-06 02:27:03,213 ----------------------------------------------------------------------------------------------------
2023-04-06 02:27:19,165 epoch 89 - iter 265/2650 - loss 0.05733864 - time (sec): 15.95 - samples/sec: 9037.00 - lr: 0.050000
2023-04-06 02:27:35,377 epoch 89 - iter 530/2650 - loss 0.05710991 - time (sec): 32.16 - samples/sec: 9031.90 - lr: 0.050000
2023-04-06 02:27:51,890 epoch 89 - iter 795/2650 - loss 0.05712044 - time (sec): 48.68 - samples/sec: 8975.95 - lr: 0.050000
2023-04-06 02:28:08,503 epoch 89 - iter 1060/2650 - loss 0.05732019 - time (sec): 65.29 - samples/sec: 8944.61 - lr: 0.050000
2023-04-06 02:28:24,407 epoch 89 - iter 1325/2650 - loss 0.05729035 - time (sec): 81.19 - samples/sec: 8988.63 - lr: 0.050000
2023-04-06 02:28:40,587 epoch 89 - iter 1590/2650 - loss 0.05719169 - time (sec): 97.37 - samples/sec: 9008.47 - lr: 0.050000
2023-04-06 02:28:56,929 epoch 89 - iter 1855/2650 - loss 0.05733343 - time (sec): 113.72 - samples/sec: 8988.26 - lr: 0.050000
2023-04-06 02:29:13,182 epoch 89 - iter 2120/2650 - loss 0.05742566 - time (sec): 129.97 - samples/sec: 8990.40 - lr: 0.050000
2023-04-06 02:29:29,681 epoch 89 - iter 2385/2650 - loss 0.05754902 - time (sec): 146.47 - samples/sec: 8981.96 - lr: 0.050000
2023-04-06 02:29:46,525 epoch 89 - iter 2650/2650 - loss 0.05769353 - time (sec): 163.31 - samples/sec: 8954.43 - lr: 0.050000
2023-04-06 02:29:46,525 ----------------------------------------------------------------------------------------------------
2023-04-06 02:29:46,525 EPOCH 89 done: loss 0.0577 - lr 0.050000
2023-04-06 02:29:46,525 BAD EPOCHS (no improvement): 0
2023-04-06 02:29:46,528 ----------------------------------------------------------------------------------------------------
2023-04-06 02:30:03,107 epoch 90 - iter 265/2650 - loss 0.05769974 - time (sec): 16.58 - samples/sec: 8871.68 - lr: 0.050000
2023-04-06 02:30:19,472 epoch 90 - iter 530/2650 - loss 0.05827424 - time (sec): 32.94 - samples/sec: 8896.66 - lr: 0.050000
2023-04-06 02:30:36,356 epoch 90 - iter 795/2650 - loss 0.05797778 - time (sec): 49.83 - samples/sec: 8810.52 - lr: 0.050000
2023-04-06 02:30:53,062 epoch 90 - iter 1060/2650 - loss 0.05778844 - time (sec): 66.53 - samples/sec: 8792.01 - lr: 0.050000
2023-04-06 02:31:08,884 epoch 90 - iter 1325/2650 - loss 0.05762327 - time (sec): 82.36 - samples/sec: 8866.50 - lr: 0.050000
2023-04-06 02:31:25,280 epoch 90 - iter 1590/2650 - loss 0.05783676 - time (sec): 98.75 - samples/sec: 8885.25 - lr: 0.050000
2023-04-06 02:31:41,309 epoch 90 - iter 1855/2650 - loss 0.05770713 - time (sec): 114.78 - samples/sec: 8928.45 - lr: 0.050000
2023-04-06 02:31:58,038 epoch 90 - iter 2120/2650 - loss 0.05777138 - time (sec): 131.51 - samples/sec: 8899.34 - lr: 0.050000
2023-04-06 02:32:14,822 epoch 90 - iter 2385/2650 - loss 0.05773932 - time (sec): 148.29 - samples/sec: 8873.42 - lr: 0.050000
2023-04-06 02:32:31,206 epoch 90 - iter 2650/2650 - loss 0.05754015 - time (sec): 164.68 - samples/sec: 8880.12 - lr: 0.050000
2023-04-06 02:32:31,206 ----------------------------------------------------------------------------------------------------
2023-04-06 02:32:31,206 EPOCH 90 done: loss 0.0575 - lr 0.050000
2023-04-06 02:32:31,206 BAD EPOCHS (no improvement): 0
2023-04-06 02:32:31,210 ----------------------------------------------------------------------------------------------------
2023-04-06 02:32:47,757 epoch 91 - iter 265/2650 - loss 0.05716919 - time (sec): 16.55 - samples/sec: 8812.10 - lr: 0.050000
2023-04-06 02:33:04,151 epoch 91 - iter 530/2650 - loss 0.05702699 - time (sec): 32.94 - samples/sec: 8874.53 - lr: 0.050000
2023-04-06 02:33:20,431 epoch 91 - iter 795/2650 - loss 0.05641660 - time (sec): 49.22 - samples/sec: 8896.98 - lr: 0.050000
2023-04-06 02:33:36,790 epoch 91 - iter 1060/2650 - loss 0.05620342 - time (sec): 65.58 - samples/sec: 8929.61 - lr: 0.050000
2023-04-06 02:33:53,087 epoch 91 - iter 1325/2650 - loss 0.05662525 - time (sec): 81.88 - samples/sec: 8952.74 - lr: 0.050000
2023-04-06 02:34:09,386 epoch 91 - iter 1590/2650 - loss 0.05673693 - time (sec): 98.18 - samples/sec: 8965.18 - lr: 0.050000
2023-04-06 02:34:25,307 epoch 91 - iter 1855/2650 - loss 0.05691856 - time (sec): 114.10 - samples/sec: 8991.34 - lr: 0.050000
2023-04-06 02:34:41,401 epoch 91 - iter 2120/2650 - loss 0.05694037 - time (sec): 130.19 - samples/sec: 8995.66 - lr: 0.050000
2023-04-06 02:34:57,474 epoch 91 - iter 2385/2650 - loss 0.05698004 - time (sec): 146.26 - samples/sec: 9007.50 - lr: 0.050000
2023-04-06 02:35:13,752 epoch 91 - iter 2650/2650 - loss 0.05696403 - time (sec): 162.54 - samples/sec: 8996.86 - lr: 0.050000
2023-04-06 02:35:13,752 ----------------------------------------------------------------------------------------------------
2023-04-06 02:35:13,752 EPOCH 91 done: loss 0.0570 - lr 0.050000
2023-04-06 02:35:13,752 BAD EPOCHS (no improvement): 0
2023-04-06 02:35:13,755 ----------------------------------------------------------------------------------------------------
2023-04-06 02:35:30,294 epoch 92 - iter 265/2650 - loss 0.05520833 - time (sec): 16.54 - samples/sec: 8861.07 - lr: 0.050000
2023-04-06 02:35:46,831 epoch 92 - iter 530/2650 - loss 0.05632891 - time (sec): 33.08 - samples/sec: 8900.73 - lr: 0.050000
2023-04-06 02:36:02,796 epoch 92 - iter 795/2650 - loss 0.05627681 - time (sec): 49.04 - samples/sec: 8970.10 - lr: 0.050000
2023-04-06 02:36:18,886 epoch 92 - iter 1060/2650 - loss 0.05682940 - time (sec): 65.13 - samples/sec: 8999.02 - lr: 0.050000
2023-04-06 02:36:35,421 epoch 92 - iter 1325/2650 - loss 0.05665319 - time (sec): 81.67 - samples/sec: 8982.74 - lr: 0.050000
2023-04-06 02:36:51,631 epoch 92 - iter 1590/2650 - loss 0.05669506 - time (sec): 97.88 - samples/sec: 8978.90 - lr: 0.050000
2023-04-06 02:37:07,997 epoch 92 - iter 1855/2650 - loss 0.05668674 - time (sec): 114.24 - samples/sec: 8961.61 - lr: 0.050000
2023-04-06 02:37:24,634 epoch 92 - iter 2120/2650 - loss 0.05674580 - time (sec): 130.88 - samples/sec: 8933.08 - lr: 0.050000
2023-04-06 02:37:41,093 epoch 92 - iter 2385/2650 - loss 0.05680429 - time (sec): 147.34 - samples/sec: 8928.58 - lr: 0.050000
2023-04-06 02:37:57,557 epoch 92 - iter 2650/2650 - loss 0.05689375 - time (sec): 163.80 - samples/sec: 8927.62 - lr: 0.050000
2023-04-06 02:37:57,558 ----------------------------------------------------------------------------------------------------
2023-04-06 02:37:57,558 EPOCH 92 done: loss 0.0569 - lr 0.050000
2023-04-06 02:37:57,558 BAD EPOCHS (no improvement): 0
2023-04-06 02:37:57,561 ----------------------------------------------------------------------------------------------------
2023-04-06 02:38:14,064 epoch 93 - iter 265/2650 - loss 0.05636687 - time (sec): 16.50 - samples/sec: 8830.27 - lr: 0.050000
2023-04-06 02:38:29,921 epoch 93 - iter 530/2650 - loss 0.05669643 - time (sec): 32.36 - samples/sec: 8973.68 - lr: 0.050000
2023-04-06 02:38:46,254 epoch 93 - iter 795/2650 - loss 0.05683398 - time (sec): 48.69 - samples/sec: 8936.35 - lr: 0.050000
2023-04-06 02:39:02,779 epoch 93 - iter 1060/2650 - loss 0.05689228 - time (sec): 65.22 - samples/sec: 8928.37 - lr: 0.050000
2023-04-06 02:39:18,781 epoch 93 - iter 1325/2650 - loss 0.05696700 - time (sec): 81.22 - samples/sec: 8966.45 - lr: 0.050000
2023-04-06 02:39:34,800 epoch 93 - iter 1590/2650 - loss 0.05711747 - time (sec): 97.24 - samples/sec: 8987.34 - lr: 0.050000
2023-04-06 02:39:51,042 epoch 93 - iter 1855/2650 - loss 0.05702278 - time (sec): 113.48 - samples/sec: 9019.58 - lr: 0.050000
2023-04-06 02:40:07,382 epoch 93 - iter 2120/2650 - loss 0.05717663 - time (sec): 129.82 - samples/sec: 9014.92 - lr: 0.050000
2023-04-06 02:40:23,672 epoch 93 - iter 2385/2650 - loss 0.05716287 - time (sec): 146.11 - samples/sec: 9005.93 - lr: 0.050000
2023-04-06 02:40:39,953 epoch 93 - iter 2650/2650 - loss 0.05725182 - time (sec): 162.39 - samples/sec: 9005.17 - lr: 0.050000
2023-04-06 02:40:39,953 ----------------------------------------------------------------------------------------------------
2023-04-06 02:40:39,953 EPOCH 93 done: loss 0.0573 - lr 0.050000
2023-04-06 02:40:39,953 BAD EPOCHS (no improvement): 1
2023-04-06 02:40:39,960 ----------------------------------------------------------------------------------------------------
2023-04-06 02:40:56,210 epoch 94 - iter 265/2650 - loss 0.05584749 - time (sec): 16.25 - samples/sec: 9010.24 - lr: 0.050000
2023-04-06 02:41:12,299 epoch 94 - iter 530/2650 - loss 0.05660343 - time (sec): 32.34 - samples/sec: 9055.84 - lr: 0.050000
2023-04-06 02:41:28,558 epoch 94 - iter 795/2650 - loss 0.05676285 - time (sec): 48.60 - samples/sec: 8983.31 - lr: 0.050000
2023-04-06 02:41:45,175 epoch 94 - iter 1060/2650 - loss 0.05688557 - time (sec): 65.22 - samples/sec: 8957.36 - lr: 0.050000
2023-04-06 02:42:01,104 epoch 94 - iter 1325/2650 - loss 0.05724321 - time (sec): 81.14 - samples/sec: 8991.21 - lr: 0.050000
2023-04-06 02:42:17,491 epoch 94 - iter 1590/2650 - loss 0.05703208 - time (sec): 97.53 - samples/sec: 8986.43 - lr: 0.050000
2023-04-06 02:42:33,715 epoch 94 - iter 1855/2650 - loss 0.05690208 - time (sec): 113.75 - samples/sec: 8997.48 - lr: 0.050000
2023-04-06 02:42:50,346 epoch 94 - iter 2120/2650 - loss 0.05686019 - time (sec): 130.39 - samples/sec: 8967.45 - lr: 0.050000
2023-04-06 02:43:06,549 epoch 94 - iter 2385/2650 - loss 0.05693304 - time (sec): 146.59 - samples/sec: 8970.18 - lr: 0.050000
2023-04-06 02:43:22,757 epoch 94 - iter 2650/2650 - loss 0.05696743 - time (sec): 162.80 - samples/sec: 8982.75 - lr: 0.050000
2023-04-06 02:43:22,757 ----------------------------------------------------------------------------------------------------
2023-04-06 02:43:22,757 EPOCH 94 done: loss 0.0570 - lr 0.050000
2023-04-06 02:43:22,757 BAD EPOCHS (no improvement): 2
2023-04-06 02:43:22,761 ----------------------------------------------------------------------------------------------------
2023-04-06 02:43:39,384 epoch 95 - iter 265/2650 - loss 0.05482850 - time (sec): 16.62 - samples/sec: 8918.36 - lr: 0.050000
2023-04-06 02:43:55,712 epoch 95 - iter 530/2650 - loss 0.05610870 - time (sec): 32.95 - samples/sec: 8892.60 - lr: 0.050000
2023-04-06 02:44:11,724 epoch 95 - iter 795/2650 - loss 0.05582424 - time (sec): 48.96 - samples/sec: 8972.48 - lr: 0.050000
2023-04-06 02:44:27,647 epoch 95 - iter 1060/2650 - loss 0.05627225 - time (sec): 64.89 - samples/sec: 8998.96 - lr: 0.050000
2023-04-06 02:44:43,405 epoch 95 - iter 1325/2650 - loss 0.05635687 - time (sec): 80.64 - samples/sec: 9054.32 - lr: 0.050000
2023-04-06 02:44:59,617 epoch 95 - iter 1590/2650 - loss 0.05648469 - time (sec): 96.86 - samples/sec: 9077.72 - lr: 0.050000
2023-04-06 02:45:15,339 epoch 95 - iter 1855/2650 - loss 0.05686800 - time (sec): 112.58 - samples/sec: 9099.73 - lr: 0.050000
2023-04-06 02:45:31,337 epoch 95 - iter 2120/2650 - loss 0.05689909 - time (sec): 128.58 - samples/sec: 9088.83 - lr: 0.050000
2023-04-06 02:45:47,957 epoch 95 - iter 2385/2650 - loss 0.05694059 - time (sec): 145.20 - samples/sec: 9058.66 - lr: 0.050000
2023-04-06 02:46:04,171 epoch 95 - iter 2650/2650 - loss 0.05716246 - time (sec): 161.41 - samples/sec: 9059.92 - lr: 0.050000
2023-04-06 02:46:04,172 ----------------------------------------------------------------------------------------------------
2023-04-06 02:46:04,172 EPOCH 95 done: loss 0.0572 - lr 0.050000
2023-04-06 02:46:04,172 BAD EPOCHS (no improvement): 3
2023-04-06 02:46:04,175 ----------------------------------------------------------------------------------------------------
2023-04-06 02:46:20,476 epoch 96 - iter 265/2650 - loss 0.05678351 - time (sec): 16.30 - samples/sec: 8969.31 - lr: 0.050000
2023-04-06 02:46:36,649 epoch 96 - iter 530/2650 - loss 0.05756693 - time (sec): 32.47 - samples/sec: 9022.05 - lr: 0.050000
2023-04-06 02:46:53,176 epoch 96 - iter 795/2650 - loss 0.05680844 - time (sec): 49.00 - samples/sec: 8971.74 - lr: 0.050000
2023-04-06 02:47:09,351 epoch 96 - iter 1060/2650 - loss 0.05681240 - time (sec): 65.18 - samples/sec: 9001.51 - lr: 0.050000
2023-04-06 02:47:25,033 epoch 96 - iter 1325/2650 - loss 0.05680576 - time (sec): 80.86 - samples/sec: 9046.91 - lr: 0.050000
2023-04-06 02:47:40,987 epoch 96 - iter 1590/2650 - loss 0.05704291 - time (sec): 96.81 - samples/sec: 9055.37 - lr: 0.050000
2023-04-06 02:47:56,982 epoch 96 - iter 1855/2650 - loss 0.05710847 - time (sec): 112.81 - samples/sec: 9062.98 - lr: 0.050000
2023-04-06 02:48:13,253 epoch 96 - iter 2120/2650 - loss 0.05713834 - time (sec): 129.08 - samples/sec: 9059.50 - lr: 0.050000
2023-04-06 02:48:29,277 epoch 96 - iter 2385/2650 - loss 0.05695826 - time (sec): 145.10 - samples/sec: 9075.69 - lr: 0.050000
2023-04-06 02:48:45,328 epoch 96 - iter 2650/2650 - loss 0.05702884 - time (sec): 161.15 - samples/sec: 9074.39 - lr: 0.050000
2023-04-06 02:48:45,328 ----------------------------------------------------------------------------------------------------
2023-04-06 02:48:45,328 EPOCH 96 done: loss 0.0570 - lr 0.050000
2023-04-06 02:48:45,328 Epoch 96: reducing learning rate of group 0 to 2.5000e-02.
2023-04-06 02:48:45,328 BAD EPOCHS (no improvement): 4
2023-04-06 02:48:45,332 ----------------------------------------------------------------------------------------------------
2023-04-06 02:49:01,460 epoch 97 - iter 265/2650 - loss 0.05675168 - time (sec): 16.13 - samples/sec: 9138.38 - lr: 0.025000
2023-04-06 02:49:17,648 epoch 97 - iter 530/2650 - loss 0.05655065 - time (sec): 32.32 - samples/sec: 9147.31 - lr: 0.025000
2023-04-06 02:49:33,633 epoch 97 - iter 795/2650 - loss 0.05639335 - time (sec): 48.30 - samples/sec: 9125.16 - lr: 0.025000
2023-04-06 02:49:49,797 epoch 97 - iter 1060/2650 - loss 0.05648281 - time (sec): 64.47 - samples/sec: 9107.73 - lr: 0.025000
2023-04-06 02:50:05,581 epoch 97 - iter 1325/2650 - loss 0.05607096 - time (sec): 80.25 - samples/sec: 9124.03 - lr: 0.025000
2023-04-06 02:50:21,882 epoch 97 - iter 1590/2650 - loss 0.05612122 - time (sec): 96.55 - samples/sec: 9096.09 - lr: 0.025000
2023-04-06 02:50:37,798 epoch 97 - iter 1855/2650 - loss 0.05593879 - time (sec): 112.47 - samples/sec: 9104.73 - lr: 0.025000
2023-04-06 02:50:54,511 epoch 97 - iter 2120/2650 - loss 0.05599269 - time (sec): 129.18 - samples/sec: 9070.21 - lr: 0.025000
2023-04-06 02:51:10,038 epoch 97 - iter 2385/2650 - loss 0.05588086 - time (sec): 144.71 - samples/sec: 9091.15 - lr: 0.025000
2023-04-06 02:51:25,853 epoch 97 - iter 2650/2650 - loss 0.05586537 - time (sec): 160.52 - samples/sec: 9110.11 - lr: 0.025000
2023-04-06 02:51:25,853 ----------------------------------------------------------------------------------------------------
2023-04-06 02:51:25,853 EPOCH 97 done: loss 0.0559 - lr 0.025000
2023-04-06 02:51:25,853 BAD EPOCHS (no improvement): 0
2023-04-06 02:51:25,856 ----------------------------------------------------------------------------------------------------
2023-04-06 02:51:42,006 epoch 98 - iter 265/2650 - loss 0.05579240 - time (sec): 16.15 - samples/sec: 9067.03 - lr: 0.025000
2023-04-06 02:51:58,259 epoch 98 - iter 530/2650 - loss 0.05499418 - time (sec): 32.40 - samples/sec: 9068.31 - lr: 0.025000
2023-04-06 02:52:14,370 epoch 98 - iter 795/2650 - loss 0.05493113 - time (sec): 48.51 - samples/sec: 9036.01 - lr: 0.025000
2023-04-06 02:52:30,594 epoch 98 - iter 1060/2650 - loss 0.05511153 - time (sec): 64.74 - samples/sec: 9032.59 - lr: 0.025000
2023-04-06 02:52:46,883 epoch 98 - iter 1325/2650 - loss 0.05502608 - time (sec): 81.03 - samples/sec: 9006.96 - lr: 0.025000
2023-04-06 02:53:02,971 epoch 98 - iter 1590/2650 - loss 0.05466093 - time (sec): 97.12 - samples/sec: 9018.77 - lr: 0.025000
2023-04-06 02:53:19,199 epoch 98 - iter 1855/2650 - loss 0.05466147 - time (sec): 113.34 - samples/sec: 9017.23 - lr: 0.025000
2023-04-06 02:53:35,709 epoch 98 - iter 2120/2650 - loss 0.05484845 - time (sec): 129.85 - samples/sec: 8989.97 - lr: 0.025000
2023-04-06 02:53:51,975 epoch 98 - iter 2385/2650 - loss 0.05480305 - time (sec): 146.12 - samples/sec: 9001.44 - lr: 0.025000
2023-04-06 02:54:08,097 epoch 98 - iter 2650/2650 - loss 0.05467063 - time (sec): 162.24 - samples/sec: 9013.53 - lr: 0.025000
2023-04-06 02:54:08,097 ----------------------------------------------------------------------------------------------------
2023-04-06 02:54:08,097 EPOCH 98 done: loss 0.0547 - lr 0.025000
2023-04-06 02:54:08,097 BAD EPOCHS (no improvement): 0
2023-04-06 02:54:08,100 ----------------------------------------------------------------------------------------------------
2023-04-06 02:54:24,356 epoch 99 - iter 265/2650 - loss 0.05481353 - time (sec): 16.26 - samples/sec: 8969.25 - lr: 0.025000
2023-04-06 02:54:40,515 epoch 99 - iter 530/2650 - loss 0.05423763 - time (sec): 32.41 - samples/sec: 8976.75 - lr: 0.025000
2023-04-06 02:54:56,593 epoch 99 - iter 795/2650 - loss 0.05375745 - time (sec): 48.49 - samples/sec: 8995.12 - lr: 0.025000
2023-04-06 02:55:13,073 epoch 99 - iter 1060/2650 - loss 0.05439653 - time (sec): 64.97 - samples/sec: 8986.55 - lr: 0.025000
2023-04-06 02:55:29,445 epoch 99 - iter 1325/2650 - loss 0.05453867 - time (sec): 81.34 - samples/sec: 8988.57 - lr: 0.025000
2023-04-06 02:55:45,653 epoch 99 - iter 1590/2650 - loss 0.05443313 - time (sec): 97.55 - samples/sec: 9003.95 - lr: 0.025000
2023-04-06 02:56:01,965 epoch 99 - iter 1855/2650 - loss 0.05444087 - time (sec): 113.87 - samples/sec: 9003.22 - lr: 0.025000
2023-04-06 02:56:17,897 epoch 99 - iter 2120/2650 - loss 0.05436994 - time (sec): 129.80 - samples/sec: 9014.53 - lr: 0.025000
2023-04-06 02:56:34,463 epoch 99 - iter 2385/2650 - loss 0.05426412 - time (sec): 146.36 - samples/sec: 9000.00 - lr: 0.025000
2023-04-06 02:56:50,659 epoch 99 - iter 2650/2650 - loss 0.05425154 - time (sec): 162.56 - samples/sec: 8995.89 - lr: 0.025000
2023-04-06 02:56:50,659 ----------------------------------------------------------------------------------------------------
2023-04-06 02:56:50,659 EPOCH 99 done: loss 0.0543 - lr 0.025000
2023-04-06 02:56:50,659 BAD EPOCHS (no improvement): 0
2023-04-06 02:56:50,663 ----------------------------------------------------------------------------------------------------
2023-04-06 02:57:07,254 epoch 100 - iter 265/2650 - loss 0.05577445 - time (sec): 16.59 - samples/sec: 8869.53 - lr: 0.025000
2023-04-06 02:57:23,797 epoch 100 - iter 530/2650 - loss 0.05522605 - time (sec): 33.13 - samples/sec: 8891.44 - lr: 0.025000
2023-04-06 02:57:40,189 epoch 100 - iter 795/2650 - loss 0.05479972 - time (sec): 49.53 - samples/sec: 8922.85 - lr: 0.025000
2023-04-06 02:57:56,407 epoch 100 - iter 1060/2650 - loss 0.05443953 - time (sec): 65.74 - samples/sec: 8911.37 - lr: 0.025000
2023-04-06 02:58:12,500 epoch 100 - iter 1325/2650 - loss 0.05435612 - time (sec): 81.84 - samples/sec: 8934.22 - lr: 0.025000
2023-04-06 02:58:28,990 epoch 100 - iter 1590/2650 - loss 0.05425674 - time (sec): 98.33 - samples/sec: 8924.96 - lr: 0.025000
2023-04-06 02:58:45,364 epoch 100 - iter 1855/2650 - loss 0.05416058 - time (sec): 114.70 - samples/sec: 8930.86 - lr: 0.025000
2023-04-06 02:59:01,468 epoch 100 - iter 2120/2650 - loss 0.05425236 - time (sec): 130.80 - samples/sec: 8949.55 - lr: 0.025000
2023-04-06 02:59:17,641 epoch 100 - iter 2385/2650 - loss 0.05421510 - time (sec): 146.98 - samples/sec: 8965.80 - lr: 0.025000
2023-04-06 02:59:33,321 epoch 100 - iter 2650/2650 - loss 0.05426684 - time (sec): 162.66 - samples/sec: 8990.45 - lr: 0.025000
2023-04-06 02:59:33,321 ----------------------------------------------------------------------------------------------------
2023-04-06 02:59:33,321 EPOCH 100 done: loss 0.0543 - lr 0.025000
2023-04-06 02:59:33,321 BAD EPOCHS (no improvement): 1
2023-04-06 02:59:33,324 ----------------------------------------------------------------------------------------------------
2023-04-06 02:59:49,271 epoch 101 - iter 265/2650 - loss 0.05251644 - time (sec): 15.95 - samples/sec: 9115.36 - lr: 0.025000
2023-04-06 03:00:05,018 epoch 101 - iter 530/2650 - loss 0.05305298 - time (sec): 31.69 - samples/sec: 9143.74 - lr: 0.025000
2023-04-06 03:00:21,470 epoch 101 - iter 795/2650 - loss 0.05280409 - time (sec): 48.15 - samples/sec: 9095.73 - lr: 0.025000
2023-04-06 03:00:37,372 epoch 101 - iter 1060/2650 - loss 0.05333365 - time (sec): 64.05 - samples/sec: 9110.31 - lr: 0.025000
2023-04-06 03:00:53,451 epoch 101 - iter 1325/2650 - loss 0.05325329 - time (sec): 80.13 - samples/sec: 9117.38 - lr: 0.025000
2023-04-06 03:01:09,789 epoch 101 - iter 1590/2650 - loss 0.05314342 - time (sec): 96.46 - samples/sec: 9102.95 - lr: 0.025000
2023-04-06 03:01:25,851 epoch 101 - iter 1855/2650 - loss 0.05325090 - time (sec): 112.53 - samples/sec: 9104.54 - lr: 0.025000
2023-04-06 03:01:41,843 epoch 101 - iter 2120/2650 - loss 0.05319048 - time (sec): 128.52 - samples/sec: 9116.28 - lr: 0.025000
2023-04-06 03:01:58,170 epoch 101 - iter 2385/2650 - loss 0.05360251 - time (sec): 144.85 - samples/sec: 9097.37 - lr: 0.025000
2023-04-06 03:02:13,950 epoch 101 - iter 2650/2650 - loss 0.05357651 - time (sec): 160.63 - samples/sec: 9104.15 - lr: 0.025000
2023-04-06 03:02:13,951 ----------------------------------------------------------------------------------------------------
2023-04-06 03:02:13,951 EPOCH 101 done: loss 0.0536 - lr 0.025000
2023-04-06 03:02:13,951 BAD EPOCHS (no improvement): 0
2023-04-06 03:02:13,956 ----------------------------------------------------------------------------------------------------
2023-04-06 03:02:30,364 epoch 102 - iter 265/2650 - loss 0.05295323 - time (sec): 16.41 - samples/sec: 8990.14 - lr: 0.025000
2023-04-06 03:02:46,649 epoch 102 - iter 530/2650 - loss 0.05361474 - time (sec): 32.69 - samples/sec: 9033.35 - lr: 0.025000
2023-04-06 03:03:02,912 epoch 102 - iter 795/2650 - loss 0.05268897 - time (sec): 48.96 - samples/sec: 9008.67 - lr: 0.025000
2023-04-06 03:03:18,757 epoch 102 - iter 1060/2650 - loss 0.05290713 - time (sec): 64.80 - samples/sec: 9061.06 - lr: 0.025000
2023-04-06 03:03:35,177 epoch 102 - iter 1325/2650 - loss 0.05323060 - time (sec): 81.22 - samples/sec: 9035.45 - lr: 0.025000
2023-04-06 03:03:51,537 epoch 102 - iter 1590/2650 - loss 0.05345292 - time (sec): 97.58 - samples/sec: 9012.95 - lr: 0.025000
2023-04-06 03:04:08,229 epoch 102 - iter 1855/2650 - loss 0.05361675 - time (sec): 114.27 - samples/sec: 8975.81 - lr: 0.025000
2023-04-06 03:04:24,596 epoch 102 - iter 2120/2650 - loss 0.05382500 - time (sec): 130.64 - samples/sec: 8972.04 - lr: 0.025000
2023-04-06 03:04:40,682 epoch 102 - iter 2385/2650 - loss 0.05364718 - time (sec): 146.73 - samples/sec: 8972.70 - lr: 0.025000
2023-04-06 03:04:57,011 epoch 102 - iter 2650/2650 - loss 0.05373903 - time (sec): 163.05 - samples/sec: 8968.53 - lr: 0.025000
2023-04-06 03:04:57,011 ----------------------------------------------------------------------------------------------------
2023-04-06 03:04:57,011 EPOCH 102 done: loss 0.0537 - lr 0.025000
2023-04-06 03:04:57,011 BAD EPOCHS (no improvement): 1
2023-04-06 03:04:57,015 ----------------------------------------------------------------------------------------------------
2023-04-06 03:05:13,378 epoch 103 - iter 265/2650 - loss 0.05380953 - time (sec): 16.36 - samples/sec: 9003.83 - lr: 0.025000
2023-04-06 03:05:29,276 epoch 103 - iter 530/2650 - loss 0.05339576 - time (sec): 32.26 - samples/sec: 9067.40 - lr: 0.025000
2023-04-06 03:05:44,936 epoch 103 - iter 795/2650 - loss 0.05315897 - time (sec): 47.92 - samples/sec: 9116.47 - lr: 0.025000
2023-04-06 03:06:01,251 epoch 103 - iter 1060/2650 - loss 0.05302625 - time (sec): 64.24 - samples/sec: 9084.48 - lr: 0.025000
2023-04-06 03:06:17,862 epoch 103 - iter 1325/2650 - loss 0.05333516 - time (sec): 80.85 - samples/sec: 9057.31 - lr: 0.025000
2023-04-06 03:06:34,084 epoch 103 - iter 1590/2650 - loss 0.05330144 - time (sec): 97.07 - samples/sec: 9061.21 - lr: 0.025000
2023-04-06 03:06:50,007 epoch 103 - iter 1855/2650 - loss 0.05357690 - time (sec): 112.99 - samples/sec: 9082.85 - lr: 0.025000
2023-04-06 03:07:06,368 epoch 103 - iter 2120/2650 - loss 0.05353265 - time (sec): 129.35 - samples/sec: 9068.62 - lr: 0.025000
2023-04-06 03:07:22,199 epoch 103 - iter 2385/2650 - loss 0.05353289 - time (sec): 145.18 - samples/sec: 9070.95 - lr: 0.025000
2023-04-06 03:07:38,263 epoch 103 - iter 2650/2650 - loss 0.05351768 - time (sec): 161.25 - samples/sec: 9069.04 - lr: 0.025000
2023-04-06 03:07:38,263 ----------------------------------------------------------------------------------------------------
2023-04-06 03:07:38,263 EPOCH 103 done: loss 0.0535 - lr 0.025000
2023-04-06 03:07:38,263 BAD EPOCHS (no improvement): 0
2023-04-06 03:07:38,267 ----------------------------------------------------------------------------------------------------
2023-04-06 03:07:54,421 epoch 104 - iter 265/2650 - loss 0.05177632 - time (sec): 16.15 - samples/sec: 9091.88 - lr: 0.025000
2023-04-06 03:08:10,365 epoch 104 - iter 530/2650 - loss 0.05193130 - time (sec): 32.10 - samples/sec: 9056.51 - lr: 0.025000
2023-04-06 03:08:27,077 epoch 104 - iter 795/2650 - loss 0.05241643 - time (sec): 48.81 - samples/sec: 8968.14 - lr: 0.025000
2023-04-06 03:08:43,549 epoch 104 - iter 1060/2650 - loss 0.05245449 - time (sec): 65.28 - samples/sec: 8954.83 - lr: 0.025000
2023-04-06 03:08:59,637 epoch 104 - iter 1325/2650 - loss 0.05263660 - time (sec): 81.37 - samples/sec: 8953.78 - lr: 0.025000
2023-04-06 03:09:15,891 epoch 104 - iter 1590/2650 - loss 0.05283294 - time (sec): 97.62 - samples/sec: 8948.93 - lr: 0.025000
2023-04-06 03:09:32,231 epoch 104 - iter 1855/2650 - loss 0.05307557 - time (sec): 113.96 - samples/sec: 8965.53 - lr: 0.025000
2023-04-06 03:09:48,628 epoch 104 - iter 2120/2650 - loss 0.05297690 - time (sec): 130.36 - samples/sec: 8965.87 - lr: 0.025000
2023-04-06 03:10:04,634 epoch 104 - iter 2385/2650 - loss 0.05297882 - time (sec): 146.37 - samples/sec: 8980.98 - lr: 0.025000
2023-04-06 03:10:20,758 epoch 104 - iter 2650/2650 - loss 0.05299552 - time (sec): 162.49 - samples/sec: 8999.72 - lr: 0.025000
2023-04-06 03:10:20,758 ----------------------------------------------------------------------------------------------------
2023-04-06 03:10:20,758 EPOCH 104 done: loss 0.0530 - lr 0.025000
2023-04-06 03:10:20,758 BAD EPOCHS (no improvement): 0
2023-04-06 03:10:20,761 ----------------------------------------------------------------------------------------------------
2023-04-06 03:10:37,051 epoch 105 - iter 265/2650 - loss 0.05442299 - time (sec): 16.29 - samples/sec: 9035.52 - lr: 0.025000
2023-04-06 03:10:53,056 epoch 105 - iter 530/2650 - loss 0.05353765 - time (sec): 32.30 - samples/sec: 9029.45 - lr: 0.025000
2023-04-06 03:11:09,585 epoch 105 - iter 795/2650 - loss 0.05338009 - time (sec): 48.82 - samples/sec: 8963.03 - lr: 0.025000
2023-04-06 03:11:25,997 epoch 105 - iter 1060/2650 - loss 0.05255469 - time (sec): 65.24 - samples/sec: 8965.05 - lr: 0.025000
2023-04-06 03:11:41,766 epoch 105 - iter 1325/2650 - loss 0.05237583 - time (sec): 81.01 - samples/sec: 9006.46 - lr: 0.025000
2023-04-06 03:11:57,981 epoch 105 - iter 1590/2650 - loss 0.05244646 - time (sec): 97.22 - samples/sec: 9014.55 - lr: 0.025000
2023-04-06 03:12:14,185 epoch 105 - iter 1855/2650 - loss 0.05258646 - time (sec): 113.42 - samples/sec: 9019.00 - lr: 0.025000
2023-04-06 03:12:30,866 epoch 105 - iter 2120/2650 - loss 0.05277190 - time (sec): 130.10 - samples/sec: 9007.58 - lr: 0.025000
2023-04-06 03:12:47,068 epoch 105 - iter 2385/2650 - loss 0.05290924 - time (sec): 146.31 - samples/sec: 9014.08 - lr: 0.025000
2023-04-06 03:13:02,987 epoch 105 - iter 2650/2650 - loss 0.05282289 - time (sec): 162.23 - samples/sec: 9014.33 - lr: 0.025000
2023-04-06 03:13:02,987 ----------------------------------------------------------------------------------------------------
2023-04-06 03:13:02,987 EPOCH 105 done: loss 0.0528 - lr 0.025000
2023-04-06 03:13:02,988 BAD EPOCHS (no improvement): 0
2023-04-06 03:13:02,990 ----------------------------------------------------------------------------------------------------
2023-04-06 03:13:19,227 epoch 106 - iter 265/2650 - loss 0.05283977 - time (sec): 16.24 - samples/sec: 8928.66 - lr: 0.025000
2023-04-06 03:13:35,844 epoch 106 - iter 530/2650 - loss 0.05235980 - time (sec): 32.85 - samples/sec: 8865.44 - lr: 0.025000
2023-04-06 03:13:51,849 epoch 106 - iter 795/2650 - loss 0.05200495 - time (sec): 48.86 - samples/sec: 8972.73 - lr: 0.025000
2023-04-06 03:14:08,142 epoch 106 - iter 1060/2650 - loss 0.05208142 - time (sec): 65.15 - samples/sec: 8976.21 - lr: 0.025000
2023-04-06 03:14:24,293 epoch 106 - iter 1325/2650 - loss 0.05234251 - time (sec): 81.30 - samples/sec: 9001.13 - lr: 0.025000
2023-04-06 03:14:40,561 epoch 106 - iter 1590/2650 - loss 0.05252426 - time (sec): 97.57 - samples/sec: 8995.70 - lr: 0.025000
2023-04-06 03:14:56,846 epoch 106 - iter 1855/2650 - loss 0.05257812 - time (sec): 113.86 - samples/sec: 8991.97 - lr: 0.025000
2023-04-06 03:15:13,324 epoch 106 - iter 2120/2650 - loss 0.05269988 - time (sec): 130.33 - samples/sec: 8979.58 - lr: 0.025000
2023-04-06 03:15:29,624 epoch 106 - iter 2385/2650 - loss 0.05271560 - time (sec): 146.63 - samples/sec: 8974.09 - lr: 0.025000
2023-04-06 03:15:45,996 epoch 106 - iter 2650/2650 - loss 0.05266513 - time (sec): 163.01 - samples/sec: 8971.25 - lr: 0.025000
2023-04-06 03:15:45,996 ----------------------------------------------------------------------------------------------------
2023-04-06 03:15:45,996 EPOCH 106 done: loss 0.0527 - lr 0.025000
2023-04-06 03:15:45,996 BAD EPOCHS (no improvement): 0
2023-04-06 03:15:45,999 ----------------------------------------------------------------------------------------------------
2023-04-06 03:16:02,534 epoch 107 - iter 265/2650 - loss 0.05367584 - time (sec): 16.53 - samples/sec: 8984.74 - lr: 0.025000
2023-04-06 03:16:18,977 epoch 107 - iter 530/2650 - loss 0.05291554 - time (sec): 32.98 - samples/sec: 8934.46 - lr: 0.025000
2023-04-06 03:16:35,004 epoch 107 - iter 795/2650 - loss 0.05308680 - time (sec): 49.00 - samples/sec: 8958.93 - lr: 0.025000
2023-04-06 03:16:51,321 epoch 107 - iter 1060/2650 - loss 0.05306503 - time (sec): 65.32 - samples/sec: 8955.12 - lr: 0.025000
2023-04-06 03:17:07,642 epoch 107 - iter 1325/2650 - loss 0.05288735 - time (sec): 81.64 - samples/sec: 8961.45 - lr: 0.025000
2023-04-06 03:17:23,651 epoch 107 - iter 1590/2650 - loss 0.05308471 - time (sec): 97.65 - samples/sec: 8982.87 - lr: 0.025000
2023-04-06 03:17:39,816 epoch 107 - iter 1855/2650 - loss 0.05304633 - time (sec): 113.82 - samples/sec: 8990.89 - lr: 0.025000
2023-04-06 03:17:55,780 epoch 107 - iter 2120/2650 - loss 0.05289039 - time (sec): 129.78 - samples/sec: 8997.58 - lr: 0.025000
2023-04-06 03:18:12,068 epoch 107 - iter 2385/2650 - loss 0.05269593 - time (sec): 146.07 - samples/sec: 8994.79 - lr: 0.025000
2023-04-06 03:18:28,683 epoch 107 - iter 2650/2650 - loss 0.05268452 - time (sec): 162.68 - samples/sec: 8989.00 - lr: 0.025000
2023-04-06 03:18:28,683 ----------------------------------------------------------------------------------------------------
2023-04-06 03:18:28,683 EPOCH 107 done: loss 0.0527 - lr 0.025000
2023-04-06 03:18:28,683 BAD EPOCHS (no improvement): 1
2023-04-06 03:18:28,686 ----------------------------------------------------------------------------------------------------
2023-04-06 03:18:44,993 epoch 108 - iter 265/2650 - loss 0.05149663 - time (sec): 16.31 - samples/sec: 8969.24 - lr: 0.025000
2023-04-06 03:19:01,027 epoch 108 - iter 530/2650 - loss 0.05232430 - time (sec): 32.34 - samples/sec: 9052.87 - lr: 0.025000
2023-04-06 03:19:17,411 epoch 108 - iter 795/2650 - loss 0.05258749 - time (sec): 48.72 - samples/sec: 8998.66 - lr: 0.025000
2023-04-06 03:19:33,365 epoch 108 - iter 1060/2650 - loss 0.05249199 - time (sec): 64.68 - samples/sec: 9022.14 - lr: 0.025000
2023-04-06 03:19:49,222 epoch 108 - iter 1325/2650 - loss 0.05230595 - time (sec): 80.54 - samples/sec: 9051.89 - lr: 0.025000
2023-04-06 03:20:05,021 epoch 108 - iter 1590/2650 - loss 0.05253026 - time (sec): 96.33 - samples/sec: 9068.70 - lr: 0.025000
2023-04-06 03:20:21,368 epoch 108 - iter 1855/2650 - loss 0.05252100 - time (sec): 112.68 - samples/sec: 9054.10 - lr: 0.025000
2023-04-06 03:20:37,922 epoch 108 - iter 2120/2650 - loss 0.05238031 - time (sec): 129.24 - samples/sec: 9035.18 - lr: 0.025000
2023-04-06 03:20:54,487 epoch 108 - iter 2385/2650 - loss 0.05246699 - time (sec): 145.80 - samples/sec: 9017.37 - lr: 0.025000
2023-04-06 03:21:11,133 epoch 108 - iter 2650/2650 - loss 0.05247266 - time (sec): 162.45 - samples/sec: 9002.14 - lr: 0.025000
2023-04-06 03:21:11,133 ----------------------------------------------------------------------------------------------------
2023-04-06 03:21:11,133 EPOCH 108 done: loss 0.0525 - lr 0.025000
2023-04-06 03:21:11,133 BAD EPOCHS (no improvement): 0
2023-04-06 03:21:11,137 ----------------------------------------------------------------------------------------------------
2023-04-06 03:21:27,983 epoch 109 - iter 265/2650 - loss 0.05188333 - time (sec): 16.85 - samples/sec: 8706.57 - lr: 0.025000
2023-04-06 03:21:44,143 epoch 109 - iter 530/2650 - loss 0.05252982 - time (sec): 33.01 - samples/sec: 8832.01 - lr: 0.025000
2023-04-06 03:22:00,366 epoch 109 - iter 795/2650 - loss 0.05259669 - time (sec): 49.23 - samples/sec: 8909.21 - lr: 0.025000
2023-04-06 03:22:16,739 epoch 109 - iter 1060/2650 - loss 0.05266395 - time (sec): 65.60 - samples/sec: 8915.09 - lr: 0.025000
2023-04-06 03:22:32,783 epoch 109 - iter 1325/2650 - loss 0.05268429 - time (sec): 81.65 - samples/sec: 8956.33 - lr: 0.025000
2023-04-06 03:22:48,718 epoch 109 - iter 1590/2650 - loss 0.05266499 - time (sec): 97.58 - samples/sec: 8979.06 - lr: 0.025000
2023-04-06 03:23:05,136 epoch 109 - iter 1855/2650 - loss 0.05276862 - time (sec): 114.00 - samples/sec: 8960.14 - lr: 0.025000
2023-04-06 03:23:21,610 epoch 109 - iter 2120/2650 - loss 0.05274184 - time (sec): 130.47 - samples/sec: 8955.51 - lr: 0.025000
2023-04-06 03:23:38,161 epoch 109 - iter 2385/2650 - loss 0.05277986 - time (sec): 147.02 - samples/sec: 8950.54 - lr: 0.025000
2023-04-06 03:23:54,051 epoch 109 - iter 2650/2650 - loss 0.05266942 - time (sec): 162.91 - samples/sec: 8976.24 - lr: 0.025000
2023-04-06 03:23:54,052 ----------------------------------------------------------------------------------------------------
2023-04-06 03:23:54,052 EPOCH 109 done: loss 0.0527 - lr 0.025000
2023-04-06 03:23:54,052 BAD EPOCHS (no improvement): 1
2023-04-06 03:23:54,055 ----------------------------------------------------------------------------------------------------
2023-04-06 03:24:09,990 epoch 110 - iter 265/2650 - loss 0.05049596 - time (sec): 15.94 - samples/sec: 9208.15 - lr: 0.025000
2023-04-06 03:24:25,906 epoch 110 - iter 530/2650 - loss 0.05120394 - time (sec): 31.85 - samples/sec: 9128.04 - lr: 0.025000
2023-04-06 03:24:42,286 epoch 110 - iter 795/2650 - loss 0.05168349 - time (sec): 48.23 - samples/sec: 9045.21 - lr: 0.025000
2023-04-06 03:24:58,771 epoch 110 - iter 1060/2650 - loss 0.05202084 - time (sec): 64.72 - samples/sec: 8995.27 - lr: 0.025000
2023-04-06 03:25:15,628 epoch 110 - iter 1325/2650 - loss 0.05208870 - time (sec): 81.57 - samples/sec: 8927.61 - lr: 0.025000
2023-04-06 03:25:32,147 epoch 110 - iter 1590/2650 - loss 0.05213541 - time (sec): 98.09 - samples/sec: 8928.05 - lr: 0.025000
2023-04-06 03:25:48,113 epoch 110 - iter 1855/2650 - loss 0.05238691 - time (sec): 114.06 - samples/sec: 8946.97 - lr: 0.025000
2023-04-06 03:26:04,664 epoch 110 - iter 2120/2650 - loss 0.05226860 - time (sec): 130.61 - samples/sec: 8953.70 - lr: 0.025000
2023-04-06 03:26:21,033 epoch 110 - iter 2385/2650 - loss 0.05237163 - time (sec): 146.98 - samples/sec: 8960.24 - lr: 0.025000
2023-04-06 03:26:37,089 epoch 110 - iter 2650/2650 - loss 0.05227529 - time (sec): 163.03 - samples/sec: 8969.68 - lr: 0.025000
2023-04-06 03:26:37,089 ----------------------------------------------------------------------------------------------------
2023-04-06 03:26:37,089 EPOCH 110 done: loss 0.0523 - lr 0.025000
2023-04-06 03:26:37,089 BAD EPOCHS (no improvement): 0
2023-04-06 03:26:37,093 ----------------------------------------------------------------------------------------------------
2023-04-06 03:26:53,419 epoch 111 - iter 265/2650 - loss 0.05205135 - time (sec): 16.33 - samples/sec: 8908.00 - lr: 0.025000
2023-04-06 03:27:09,488 epoch 111 - iter 530/2650 - loss 0.05195715 - time (sec): 32.39 - samples/sec: 8985.31 - lr: 0.025000
2023-04-06 03:27:25,720 epoch 111 - iter 795/2650 - loss 0.05250222 - time (sec): 48.63 - samples/sec: 8988.23 - lr: 0.025000
2023-04-06 03:27:42,422 epoch 111 - iter 1060/2650 - loss 0.05247693 - time (sec): 65.33 - samples/sec: 8942.33 - lr: 0.025000
2023-04-06 03:27:58,914 epoch 111 - iter 1325/2650 - loss 0.05230916 - time (sec): 81.82 - samples/sec: 8930.04 - lr: 0.025000
2023-04-06 03:28:14,961 epoch 111 - iter 1590/2650 - loss 0.05243451 - time (sec): 97.87 - samples/sec: 8945.37 - lr: 0.025000
2023-04-06 03:28:31,365 epoch 111 - iter 1855/2650 - loss 0.05245532 - time (sec): 114.27 - samples/sec: 8939.93 - lr: 0.025000
2023-04-06 03:28:47,611 epoch 111 - iter 2120/2650 - loss 0.05264567 - time (sec): 130.52 - samples/sec: 8953.53 - lr: 0.025000
2023-04-06 03:29:03,978 epoch 111 - iter 2385/2650 - loss 0.05264725 - time (sec): 146.89 - samples/sec: 8961.30 - lr: 0.025000
2023-04-06 03:29:20,408 epoch 111 - iter 2650/2650 - loss 0.05247456 - time (sec): 163.32 - samples/sec: 8954.23 - lr: 0.025000
2023-04-06 03:29:20,409 ----------------------------------------------------------------------------------------------------
2023-04-06 03:29:20,409 EPOCH 111 done: loss 0.0525 - lr 0.025000
2023-04-06 03:29:20,409 BAD EPOCHS (no improvement): 1
2023-04-06 03:29:20,412 ----------------------------------------------------------------------------------------------------
2023-04-06 03:29:36,609 epoch 112 - iter 265/2650 - loss 0.05229057 - time (sec): 16.20 - samples/sec: 8964.30 - lr: 0.025000
2023-04-06 03:29:53,017 epoch 112 - iter 530/2650 - loss 0.05177552 - time (sec): 32.60 - samples/sec: 8928.09 - lr: 0.025000
2023-04-06 03:30:09,169 epoch 112 - iter 795/2650 - loss 0.05189107 - time (sec): 48.76 - samples/sec: 8958.02 - lr: 0.025000
2023-04-06 03:30:25,736 epoch 112 - iter 1060/2650 - loss 0.05189529 - time (sec): 65.32 - samples/sec: 8933.43 - lr: 0.025000
2023-04-06 03:30:42,074 epoch 112 - iter 1325/2650 - loss 0.05184000 - time (sec): 81.66 - samples/sec: 8938.75 - lr: 0.025000
2023-04-06 03:30:58,527 epoch 112 - iter 1590/2650 - loss 0.05187792 - time (sec): 98.11 - samples/sec: 8927.67 - lr: 0.025000
2023-04-06 03:31:14,893 epoch 112 - iter 1855/2650 - loss 0.05190201 - time (sec): 114.48 - samples/sec: 8942.18 - lr: 0.025000
2023-04-06 03:31:31,271 epoch 112 - iter 2120/2650 - loss 0.05203915 - time (sec): 130.86 - samples/sec: 8954.15 - lr: 0.025000
2023-04-06 03:31:46,906 epoch 112 - iter 2385/2650 - loss 0.05187666 - time (sec): 146.49 - samples/sec: 8993.10 - lr: 0.025000
2023-04-06 03:32:02,755 epoch 112 - iter 2650/2650 - loss 0.05204341 - time (sec): 162.34 - samples/sec: 9007.87 - lr: 0.025000
2023-04-06 03:32:02,755 ----------------------------------------------------------------------------------------------------
2023-04-06 03:32:02,756 EPOCH 112 done: loss 0.0520 - lr 0.025000
2023-04-06 03:32:02,756 BAD EPOCHS (no improvement): 0
2023-04-06 03:32:02,760 ----------------------------------------------------------------------------------------------------
2023-04-06 03:32:19,026 epoch 113 - iter 265/2650 - loss 0.05133823 - time (sec): 16.27 - samples/sec: 9074.79 - lr: 0.025000
2023-04-06 03:32:35,200 epoch 113 - iter 530/2650 - loss 0.05184762 - time (sec): 32.44 - samples/sec: 9049.63 - lr: 0.025000
2023-04-06 03:32:51,392 epoch 113 - iter 795/2650 - loss 0.05197327 - time (sec): 48.63 - samples/sec: 9018.42 - lr: 0.025000
2023-04-06 03:33:08,015 epoch 113 - iter 1060/2650 - loss 0.05264442 - time (sec): 65.25 - samples/sec: 8994.67 - lr: 0.025000
2023-04-06 03:33:24,350 epoch 113 - iter 1325/2650 - loss 0.05242655 - time (sec): 81.59 - samples/sec: 8988.73 - lr: 0.025000
2023-04-06 03:33:40,707 epoch 113 - iter 1590/2650 - loss 0.05230011 - time (sec): 97.95 - samples/sec: 8995.68 - lr: 0.025000
2023-04-06 03:33:56,836 epoch 113 - iter 1855/2650 - loss 0.05231692 - time (sec): 114.08 - samples/sec: 8999.57 - lr: 0.025000
2023-04-06 03:34:13,336 epoch 113 - iter 2120/2650 - loss 0.05245696 - time (sec): 130.58 - samples/sec: 8979.12 - lr: 0.025000
2023-04-06 03:34:29,551 epoch 113 - iter 2385/2650 - loss 0.05239612 - time (sec): 146.79 - samples/sec: 8978.99 - lr: 0.025000
2023-04-06 03:34:45,607 epoch 113 - iter 2650/2650 - loss 0.05250508 - time (sec): 162.85 - samples/sec: 8980.03 - lr: 0.025000
2023-04-06 03:34:45,607 ----------------------------------------------------------------------------------------------------
2023-04-06 03:34:45,607 EPOCH 113 done: loss 0.0525 - lr 0.025000
2023-04-06 03:34:45,607 BAD EPOCHS (no improvement): 1
2023-04-06 03:34:45,610 ----------------------------------------------------------------------------------------------------
2023-04-06 03:35:01,911 epoch 114 - iter 265/2650 - loss 0.05027734 - time (sec): 16.30 - samples/sec: 8936.25 - lr: 0.025000
2023-04-06 03:35:18,272 epoch 114 - iter 530/2650 - loss 0.05053272 - time (sec): 32.66 - samples/sec: 8941.62 - lr: 0.025000
2023-04-06 03:35:34,494 epoch 114 - iter 795/2650 - loss 0.05074729 - time (sec): 48.88 - samples/sec: 8948.40 - lr: 0.025000
2023-04-06 03:35:50,593 epoch 114 - iter 1060/2650 - loss 0.05084009 - time (sec): 64.98 - samples/sec: 8964.96 - lr: 0.025000
2023-04-06 03:36:06,339 epoch 114 - iter 1325/2650 - loss 0.05112153 - time (sec): 80.73 - samples/sec: 9018.96 - lr: 0.025000
2023-04-06 03:36:22,597 epoch 114 - iter 1590/2650 - loss 0.05108673 - time (sec): 96.99 - samples/sec: 9033.98 - lr: 0.025000
2023-04-06 03:36:39,049 epoch 114 - iter 1855/2650 - loss 0.05133128 - time (sec): 113.44 - samples/sec: 9018.36 - lr: 0.025000
2023-04-06 03:36:54,923 epoch 114 - iter 2120/2650 - loss 0.05133841 - time (sec): 129.31 - samples/sec: 9034.33 - lr: 0.025000
2023-04-06 03:37:10,991 epoch 114 - iter 2385/2650 - loss 0.05144047 - time (sec): 145.38 - samples/sec: 9042.68 - lr: 0.025000
2023-04-06 03:37:27,699 epoch 114 - iter 2650/2650 - loss 0.05144027 - time (sec): 162.09 - samples/sec: 9022.00 - lr: 0.025000
2023-04-06 03:37:27,699 ----------------------------------------------------------------------------------------------------
2023-04-06 03:37:27,699 EPOCH 114 done: loss 0.0514 - lr 0.025000
2023-04-06 03:37:27,699 BAD EPOCHS (no improvement): 0
2023-04-06 03:37:27,702 ----------------------------------------------------------------------------------------------------
2023-04-06 03:37:44,641 epoch 115 - iter 265/2650 - loss 0.05317493 - time (sec): 16.94 - samples/sec: 8772.44 - lr: 0.025000
2023-04-06 03:38:00,780 epoch 115 - iter 530/2650 - loss 0.05250486 - time (sec): 33.08 - samples/sec: 8897.72 - lr: 0.025000
2023-04-06 03:38:17,240 epoch 115 - iter 795/2650 - loss 0.05208433 - time (sec): 49.54 - samples/sec: 8895.64 - lr: 0.025000
2023-04-06 03:38:33,642 epoch 115 - iter 1060/2650 - loss 0.05238640 - time (sec): 65.94 - samples/sec: 8900.44 - lr: 0.025000
2023-04-06 03:38:49,054 epoch 115 - iter 1325/2650 - loss 0.05213624 - time (sec): 81.35 - samples/sec: 8989.21 - lr: 0.025000
2023-04-06 03:39:05,193 epoch 115 - iter 1590/2650 - loss 0.05173830 - time (sec): 97.49 - samples/sec: 9013.36 - lr: 0.025000
2023-04-06 03:39:21,195 epoch 115 - iter 1855/2650 - loss 0.05166252 - time (sec): 113.49 - samples/sec: 9033.01 - lr: 0.025000
2023-04-06 03:39:37,062 epoch 115 - iter 2120/2650 - loss 0.05176503 - time (sec): 129.36 - samples/sec: 9049.02 - lr: 0.025000
2023-04-06 03:39:53,047 epoch 115 - iter 2385/2650 - loss 0.05172890 - time (sec): 145.34 - samples/sec: 9050.17 - lr: 0.025000
2023-04-06 03:40:09,621 epoch 115 - iter 2650/2650 - loss 0.05187829 - time (sec): 161.92 - samples/sec: 9031.46 - lr: 0.025000
2023-04-06 03:40:09,621 ----------------------------------------------------------------------------------------------------
2023-04-06 03:40:09,621 EPOCH 115 done: loss 0.0519 - lr 0.025000
2023-04-06 03:40:09,621 BAD EPOCHS (no improvement): 1
2023-04-06 03:40:09,624 ----------------------------------------------------------------------------------------------------
2023-04-06 03:40:25,726 epoch 116 - iter 265/2650 - loss 0.05136080 - time (sec): 16.10 - samples/sec: 9150.83 - lr: 0.025000
2023-04-06 03:40:41,798 epoch 116 - iter 530/2650 - loss 0.05151547 - time (sec): 32.17 - samples/sec: 9101.11 - lr: 0.025000
2023-04-06 03:40:57,939 epoch 116 - iter 795/2650 - loss 0.05171355 - time (sec): 48.31 - samples/sec: 9072.00 - lr: 0.025000
2023-04-06 03:41:14,381 epoch 116 - iter 1060/2650 - loss 0.05157690 - time (sec): 64.76 - samples/sec: 9043.95 - lr: 0.025000
2023-04-06 03:41:30,483 epoch 116 - iter 1325/2650 - loss 0.05130445 - time (sec): 80.86 - samples/sec: 9052.08 - lr: 0.025000
2023-04-06 03:41:46,781 epoch 116 - iter 1590/2650 - loss 0.05136112 - time (sec): 97.16 - samples/sec: 9057.32 - lr: 0.025000
2023-04-06 03:42:02,800 epoch 116 - iter 1855/2650 - loss 0.05135464 - time (sec): 113.18 - samples/sec: 9051.77 - lr: 0.025000
2023-04-06 03:42:18,457 epoch 116 - iter 2120/2650 - loss 0.05149684 - time (sec): 128.83 - samples/sec: 9072.13 - lr: 0.025000
2023-04-06 03:42:34,495 epoch 116 - iter 2385/2650 - loss 0.05145966 - time (sec): 144.87 - samples/sec: 9078.57 - lr: 0.025000
2023-04-06 03:42:50,845 epoch 116 - iter 2650/2650 - loss 0.05142510 - time (sec): 161.22 - samples/sec: 9070.55 - lr: 0.025000
2023-04-06 03:42:50,845 ----------------------------------------------------------------------------------------------------
2023-04-06 03:42:50,845 EPOCH 116 done: loss 0.0514 - lr 0.025000
2023-04-06 03:42:50,845 BAD EPOCHS (no improvement): 0
2023-04-06 03:42:50,848 ----------------------------------------------------------------------------------------------------
2023-04-06 03:43:07,159 epoch 117 - iter 265/2650 - loss 0.05085332 - time (sec): 16.31 - samples/sec: 8909.39 - lr: 0.025000
2023-04-06 03:43:23,192 epoch 117 - iter 530/2650 - loss 0.05113414 - time (sec): 32.34 - samples/sec: 9046.92 - lr: 0.025000
2023-04-06 03:43:39,406 epoch 117 - iter 795/2650 - loss 0.05180881 - time (sec): 48.56 - samples/sec: 9080.05 - lr: 0.025000
2023-04-06 03:43:55,557 epoch 117 - iter 1060/2650 - loss 0.05210568 - time (sec): 64.71 - samples/sec: 9072.61 - lr: 0.025000
2023-04-06 03:44:11,908 epoch 117 - iter 1325/2650 - loss 0.05206114 - time (sec): 81.06 - samples/sec: 9067.01 - lr: 0.025000
2023-04-06 03:44:28,224 epoch 117 - iter 1590/2650 - loss 0.05192222 - time (sec): 97.38 - samples/sec: 9048.94 - lr: 0.025000
2023-04-06 03:44:44,439 epoch 117 - iter 1855/2650 - loss 0.05169918 - time (sec): 113.59 - samples/sec: 9047.41 - lr: 0.025000
2023-04-06 03:45:00,585 epoch 117 - iter 2120/2650 - loss 0.05185374 - time (sec): 129.74 - samples/sec: 9049.25 - lr: 0.025000
2023-04-06 03:45:16,703 epoch 117 - iter 2385/2650 - loss 0.05190913 - time (sec): 145.86 - samples/sec: 9043.09 - lr: 0.025000
2023-04-06 03:45:32,898 epoch 117 - iter 2650/2650 - loss 0.05197905 - time (sec): 162.05 - samples/sec: 9024.16 - lr: 0.025000
2023-04-06 03:45:32,898 ----------------------------------------------------------------------------------------------------
2023-04-06 03:45:32,898 EPOCH 117 done: loss 0.0520 - lr 0.025000
2023-04-06 03:45:32,898 BAD EPOCHS (no improvement): 1
2023-04-06 03:45:32,902 ----------------------------------------------------------------------------------------------------
2023-04-06 03:45:49,431 epoch 118 - iter 265/2650 - loss 0.05015687 - time (sec): 16.53 - samples/sec: 8840.14 - lr: 0.025000
2023-04-06 03:46:05,858 epoch 118 - iter 530/2650 - loss 0.05159236 - time (sec): 32.96 - samples/sec: 8875.75 - lr: 0.025000
2023-04-06 03:46:22,503 epoch 118 - iter 795/2650 - loss 0.05080998 - time (sec): 49.60 - samples/sec: 8848.37 - lr: 0.025000
2023-04-06 03:46:39,379 epoch 118 - iter 1060/2650 - loss 0.05102679 - time (sec): 66.48 - samples/sec: 8817.20 - lr: 0.025000
2023-04-06 03:46:55,720 epoch 118 - iter 1325/2650 - loss 0.05107084 - time (sec): 82.82 - samples/sec: 8839.65 - lr: 0.025000
2023-04-06 03:47:11,930 epoch 118 - iter 1590/2650 - loss 0.05099878 - time (sec): 99.03 - samples/sec: 8862.37 - lr: 0.025000
2023-04-06 03:47:28,068 epoch 118 - iter 1855/2650 - loss 0.05127157 - time (sec): 115.17 - samples/sec: 8883.14 - lr: 0.025000
2023-04-06 03:47:44,454 epoch 118 - iter 2120/2650 - loss 0.05142204 - time (sec): 131.55 - samples/sec: 8885.66 - lr: 0.025000
2023-04-06 03:48:01,255 epoch 118 - iter 2385/2650 - loss 0.05158296 - time (sec): 148.35 - samples/sec: 8865.27 - lr: 0.025000
2023-04-06 03:48:17,799 epoch 118 - iter 2650/2650 - loss 0.05154382 - time (sec): 164.90 - samples/sec: 8868.34 - lr: 0.025000
2023-04-06 03:48:17,799 ----------------------------------------------------------------------------------------------------
2023-04-06 03:48:17,799 EPOCH 118 done: loss 0.0515 - lr 0.025000
2023-04-06 03:48:17,799 BAD EPOCHS (no improvement): 2
2023-04-06 03:48:17,802 ----------------------------------------------------------------------------------------------------
2023-04-06 03:48:34,653 epoch 119 - iter 265/2650 - loss 0.04986319 - time (sec): 16.85 - samples/sec: 8723.91 - lr: 0.025000
2023-04-06 03:48:50,935 epoch 119 - iter 530/2650 - loss 0.05134514 - time (sec): 33.13 - samples/sec: 8862.57 - lr: 0.025000
2023-04-06 03:49:07,241 epoch 119 - iter 795/2650 - loss 0.05142473 - time (sec): 49.44 - samples/sec: 8946.16 - lr: 0.025000
2023-04-06 03:49:23,480 epoch 119 - iter 1060/2650 - loss 0.05113582 - time (sec): 65.68 - samples/sec: 8959.57 - lr: 0.025000
2023-04-06 03:49:39,453 epoch 119 - iter 1325/2650 - loss 0.05161891 - time (sec): 81.65 - samples/sec: 8990.38 - lr: 0.025000
2023-04-06 03:49:55,621 epoch 119 - iter 1590/2650 - loss 0.05140496 - time (sec): 97.82 - samples/sec: 8992.88 - lr: 0.025000
2023-04-06 03:50:11,601 epoch 119 - iter 1855/2650 - loss 0.05127216 - time (sec): 113.80 - samples/sec: 9008.31 - lr: 0.025000
2023-04-06 03:50:27,422 epoch 119 - iter 2120/2650 - loss 0.05114935 - time (sec): 129.62 - samples/sec: 9020.73 - lr: 0.025000
2023-04-06 03:50:43,884 epoch 119 - iter 2385/2650 - loss 0.05145798 - time (sec): 146.08 - samples/sec: 9018.14 - lr: 0.025000
2023-04-06 03:50:59,822 epoch 119 - iter 2650/2650 - loss 0.05142334 - time (sec): 162.02 - samples/sec: 9025.86 - lr: 0.025000
2023-04-06 03:50:59,822 ----------------------------------------------------------------------------------------------------
2023-04-06 03:50:59,822 EPOCH 119 done: loss 0.0514 - lr 0.025000
2023-04-06 03:50:59,822 BAD EPOCHS (no improvement): 0
2023-04-06 03:50:59,824 ----------------------------------------------------------------------------------------------------
2023-04-06 03:51:15,569 epoch 120 - iter 265/2650 - loss 0.04907786 - time (sec): 15.74 - samples/sec: 9205.08 - lr: 0.025000
2023-04-06 03:51:31,565 epoch 120 - iter 530/2650 - loss 0.04935770 - time (sec): 31.74 - samples/sec: 9185.19 - lr: 0.025000
2023-04-06 03:51:48,274 epoch 120 - iter 795/2650 - loss 0.05014139 - time (sec): 48.45 - samples/sec: 9037.64 - lr: 0.025000
2023-04-06 03:52:04,980 epoch 120 - iter 1060/2650 - loss 0.05020527 - time (sec): 65.16 - samples/sec: 8960.93 - lr: 0.025000
2023-04-06 03:52:21,717 epoch 120 - iter 1325/2650 - loss 0.05062181 - time (sec): 81.89 - samples/sec: 8909.89 - lr: 0.025000
2023-04-06 03:52:38,878 epoch 120 - iter 1590/2650 - loss 0.05067943 - time (sec): 99.05 - samples/sec: 8852.96 - lr: 0.025000
2023-04-06 03:52:55,365 epoch 120 - iter 1855/2650 - loss 0.05089199 - time (sec): 115.54 - samples/sec: 8842.30 - lr: 0.025000
2023-04-06 03:53:11,997 epoch 120 - iter 2120/2650 - loss 0.05094537 - time (sec): 132.17 - samples/sec: 8845.30 - lr: 0.025000
2023-04-06 03:53:27,986 epoch 120 - iter 2385/2650 - loss 0.05098722 - time (sec): 148.16 - samples/sec: 8876.21 - lr: 0.025000
2023-04-06 03:53:44,797 epoch 120 - iter 2650/2650 - loss 0.05090180 - time (sec): 164.97 - samples/sec: 8864.27 - lr: 0.025000
2023-04-06 03:53:44,797 ----------------------------------------------------------------------------------------------------
2023-04-06 03:53:44,797 EPOCH 120 done: loss 0.0509 - lr 0.025000
2023-04-06 03:53:44,797 BAD EPOCHS (no improvement): 0
2023-04-06 03:53:44,801 ----------------------------------------------------------------------------------------------------
2023-04-06 03:54:01,240 epoch 121 - iter 265/2650 - loss 0.05058606 - time (sec): 16.44 - samples/sec: 8980.14 - lr: 0.025000
2023-04-06 03:54:17,728 epoch 121 - iter 530/2650 - loss 0.05037581 - time (sec): 32.93 - samples/sec: 8937.45 - lr: 0.025000
2023-04-06 03:54:33,923 epoch 121 - iter 795/2650 - loss 0.05027185 - time (sec): 49.12 - samples/sec: 8972.58 - lr: 0.025000
2023-04-06 03:54:50,157 epoch 121 - iter 1060/2650 - loss 0.05059041 - time (sec): 65.36 - samples/sec: 8976.62 - lr: 0.025000
2023-04-06 03:55:06,409 epoch 121 - iter 1325/2650 - loss 0.05128631 - time (sec): 81.61 - samples/sec: 8990.83 - lr: 0.025000
2023-04-06 03:55:22,597 epoch 121 - iter 1590/2650 - loss 0.05126651 - time (sec): 97.80 - samples/sec: 8990.74 - lr: 0.025000
2023-04-06 03:55:38,799 epoch 121 - iter 1855/2650 - loss 0.05124256 - time (sec): 114.00 - samples/sec: 8993.50 - lr: 0.025000
2023-04-06 03:55:54,991 epoch 121 - iter 2120/2650 - loss 0.05108097 - time (sec): 130.19 - samples/sec: 8988.47 - lr: 0.025000
2023-04-06 03:56:10,965 epoch 121 - iter 2385/2650 - loss 0.05105066 - time (sec): 146.16 - samples/sec: 8997.97 - lr: 0.025000
2023-04-06 03:56:27,292 epoch 121 - iter 2650/2650 - loss 0.05131981 - time (sec): 162.49 - samples/sec: 8999.63 - lr: 0.025000
2023-04-06 03:56:27,293 ----------------------------------------------------------------------------------------------------
2023-04-06 03:56:27,293 EPOCH 121 done: loss 0.0513 - lr 0.025000
2023-04-06 03:56:27,293 BAD EPOCHS (no improvement): 1
2023-04-06 03:56:27,296 ----------------------------------------------------------------------------------------------------
2023-04-06 03:56:43,438 epoch 122 - iter 265/2650 - loss 0.04923277 - time (sec): 16.14 - samples/sec: 9037.79 - lr: 0.025000
2023-04-06 03:56:59,750 epoch 122 - iter 530/2650 - loss 0.04985307 - time (sec): 32.45 - samples/sec: 9000.82 - lr: 0.025000
2023-04-06 03:57:16,061 epoch 122 - iter 795/2650 - loss 0.04981757 - time (sec): 48.76 - samples/sec: 8995.75 - lr: 0.025000
2023-04-06 03:57:32,166 epoch 122 - iter 1060/2650 - loss 0.05004608 - time (sec): 64.87 - samples/sec: 9023.68 - lr: 0.025000
2023-04-06 03:57:48,910 epoch 122 - iter 1325/2650 - loss 0.05018055 - time (sec): 81.61 - samples/sec: 8970.68 - lr: 0.025000
2023-04-06 03:58:05,521 epoch 122 - iter 1590/2650 - loss 0.05030719 - time (sec): 98.22 - samples/sec: 8935.37 - lr: 0.025000
2023-04-06 03:58:22,317 epoch 122 - iter 1855/2650 - loss 0.05042187 - time (sec): 115.02 - samples/sec: 8908.24 - lr: 0.025000
2023-04-06 03:58:39,157 epoch 122 - iter 2120/2650 - loss 0.05057093 - time (sec): 131.86 - samples/sec: 8883.23 - lr: 0.025000
2023-04-06 03:58:55,595 epoch 122 - iter 2385/2650 - loss 0.05069245 - time (sec): 148.30 - samples/sec: 8869.90 - lr: 0.025000
2023-04-06 03:59:11,892 epoch 122 - iter 2650/2650 - loss 0.05088706 - time (sec): 164.60 - samples/sec: 8884.59 - lr: 0.025000
2023-04-06 03:59:11,892 ----------------------------------------------------------------------------------------------------
2023-04-06 03:59:11,892 EPOCH 122 done: loss 0.0509 - lr 0.025000
2023-04-06 03:59:11,892 BAD EPOCHS (no improvement): 0
2023-04-06 03:59:11,895 ----------------------------------------------------------------------------------------------------
2023-04-06 03:59:27,965 epoch 123 - iter 265/2650 - loss 0.04978855 - time (sec): 16.07 - samples/sec: 9085.84 - lr: 0.025000
2023-04-06 03:59:44,747 epoch 123 - iter 530/2650 - loss 0.04998441 - time (sec): 32.85 - samples/sec: 8960.51 - lr: 0.025000
2023-04-06 04:00:00,622 epoch 123 - iter 795/2650 - loss 0.05081680 - time (sec): 48.73 - samples/sec: 9006.02 - lr: 0.025000
2023-04-06 04:00:16,841 epoch 123 - iter 1060/2650 - loss 0.05081910 - time (sec): 64.95 - samples/sec: 9026.57 - lr: 0.025000
2023-04-06 04:00:32,277 epoch 123 - iter 1325/2650 - loss 0.05101598 - time (sec): 80.38 - samples/sec: 9081.11 - lr: 0.025000
2023-04-06 04:00:48,238 epoch 123 - iter 1590/2650 - loss 0.05112424 - time (sec): 96.34 - samples/sec: 9092.30 - lr: 0.025000
2023-04-06 04:01:04,426 epoch 123 - iter 1855/2650 - loss 0.05147132 - time (sec): 112.53 - samples/sec: 9081.67 - lr: 0.025000
2023-04-06 04:01:20,632 epoch 123 - iter 2120/2650 - loss 0.05134521 - time (sec): 128.74 - samples/sec: 9085.18 - lr: 0.025000
2023-04-06 04:01:36,991 epoch 123 - iter 2385/2650 - loss 0.05119753 - time (sec): 145.10 - samples/sec: 9067.29 - lr: 0.025000
2023-04-06 04:01:53,165 epoch 123 - iter 2650/2650 - loss 0.05109437 - time (sec): 161.27 - samples/sec: 9067.80 - lr: 0.025000
2023-04-06 04:01:53,165 ----------------------------------------------------------------------------------------------------
2023-04-06 04:01:53,165 EPOCH 123 done: loss 0.0511 - lr 0.025000
2023-04-06 04:01:53,166 BAD EPOCHS (no improvement): 1
2023-04-06 04:01:53,169 ----------------------------------------------------------------------------------------------------
2023-04-06 04:02:09,378 epoch 124 - iter 265/2650 - loss 0.05012357 - time (sec): 16.21 - samples/sec: 9118.45 - lr: 0.025000
2023-04-06 04:02:25,639 epoch 124 - iter 530/2650 - loss 0.05094169 - time (sec): 32.47 - samples/sec: 9040.79 - lr: 0.025000
2023-04-06 04:02:42,098 epoch 124 - iter 795/2650 - loss 0.05128659 - time (sec): 48.93 - samples/sec: 8946.16 - lr: 0.025000
2023-04-06 04:02:58,611 epoch 124 - iter 1060/2650 - loss 0.05086631 - time (sec): 65.44 - samples/sec: 8904.93 - lr: 0.025000
2023-04-06 04:03:14,981 epoch 124 - iter 1325/2650 - loss 0.05080307 - time (sec): 81.81 - samples/sec: 8900.23 - lr: 0.025000
2023-04-06 04:03:32,116 epoch 124 - iter 1590/2650 - loss 0.05094714 - time (sec): 98.95 - samples/sec: 8851.89 - lr: 0.025000
2023-04-06 04:03:48,433 epoch 124 - iter 1855/2650 - loss 0.05105120 - time (sec): 115.26 - samples/sec: 8877.54 - lr: 0.025000
2023-04-06 04:04:04,498 epoch 124 - iter 2120/2650 - loss 0.05093709 - time (sec): 131.33 - samples/sec: 8894.59 - lr: 0.025000
2023-04-06 04:04:20,516 epoch 124 - iter 2385/2650 - loss 0.05088241 - time (sec): 147.35 - samples/sec: 8914.11 - lr: 0.025000
2023-04-06 04:04:37,251 epoch 124 - iter 2650/2650 - loss 0.05085952 - time (sec): 164.08 - samples/sec: 8912.38 - lr: 0.025000
2023-04-06 04:04:37,251 ----------------------------------------------------------------------------------------------------
2023-04-06 04:04:37,251 EPOCH 124 done: loss 0.0509 - lr 0.025000
2023-04-06 04:04:37,251 BAD EPOCHS (no improvement): 0
2023-04-06 04:04:37,255 ----------------------------------------------------------------------------------------------------
2023-04-06 04:04:53,504 epoch 125 - iter 265/2650 - loss 0.04951698 - time (sec): 16.25 - samples/sec: 9062.61 - lr: 0.025000
2023-04-06 04:05:09,390 epoch 125 - iter 530/2650 - loss 0.05053026 - time (sec): 32.13 - samples/sec: 9042.86 - lr: 0.025000
2023-04-06 04:05:25,394 epoch 125 - iter 795/2650 - loss 0.05056744 - time (sec): 48.14 - samples/sec: 9104.43 - lr: 0.025000
2023-04-06 04:05:41,622 epoch 125 - iter 1060/2650 - loss 0.05101012 - time (sec): 64.37 - samples/sec: 9086.88 - lr: 0.025000
2023-04-06 04:05:58,024 epoch 125 - iter 1325/2650 - loss 0.05122836 - time (sec): 80.77 - samples/sec: 9047.47 - lr: 0.025000
2023-04-06 04:06:14,980 epoch 125 - iter 1590/2650 - loss 0.05132742 - time (sec): 97.72 - samples/sec: 8973.33 - lr: 0.025000
2023-04-06 04:06:31,588 epoch 125 - iter 1855/2650 - loss 0.05115132 - time (sec): 114.33 - samples/sec: 8958.65 - lr: 0.025000
2023-04-06 04:06:47,810 epoch 125 - iter 2120/2650 - loss 0.05123789 - time (sec): 130.56 - samples/sec: 8961.13 - lr: 0.025000
2023-04-06 04:07:04,053 epoch 125 - iter 2385/2650 - loss 0.05112498 - time (sec): 146.80 - samples/sec: 8965.34 - lr: 0.025000
2023-04-06 04:07:20,709 epoch 125 - iter 2650/2650 - loss 0.05106398 - time (sec): 163.45 - samples/sec: 8946.66 - lr: 0.025000
2023-04-06 04:07:20,709 ----------------------------------------------------------------------------------------------------
2023-04-06 04:07:20,709 EPOCH 125 done: loss 0.0511 - lr 0.025000
2023-04-06 04:07:20,709 BAD EPOCHS (no improvement): 1
2023-04-06 04:07:20,711 ----------------------------------------------------------------------------------------------------
2023-04-06 04:07:36,987 epoch 126 - iter 265/2650 - loss 0.05151635 - time (sec): 16.28 - samples/sec: 8994.50 - lr: 0.025000
2023-04-06 04:07:53,073 epoch 126 - iter 530/2650 - loss 0.05085300 - time (sec): 32.36 - samples/sec: 9106.27 - lr: 0.025000
2023-04-06 04:08:09,080 epoch 126 - iter 795/2650 - loss 0.05085504 - time (sec): 48.37 - samples/sec: 9086.14 - lr: 0.025000
2023-04-06 04:08:25,366 epoch 126 - iter 1060/2650 - loss 0.05101979 - time (sec): 64.65 - samples/sec: 9075.96 - lr: 0.025000
2023-04-06 04:08:41,616 epoch 126 - iter 1325/2650 - loss 0.05108654 - time (sec): 80.90 - samples/sec: 9068.73 - lr: 0.025000
2023-04-06 04:09:09,218 epoch 126 - iter 1590/2650 - loss 0.05112089 - time (sec): 108.51 - samples/sec: 8108.69 - lr: 0.025000
2023-04-06 04:09:25,062 epoch 126 - iter 1855/2650 - loss 0.05097494 - time (sec): 124.35 - samples/sec: 8237.89 - lr: 0.025000
2023-04-06 04:09:40,917 epoch 126 - iter 2120/2650 - loss 0.05079680 - time (sec): 140.21 - samples/sec: 8337.97 - lr: 0.025000
2023-04-06 04:09:57,025 epoch 126 - iter 2385/2650 - loss 0.05085327 - time (sec): 156.31 - samples/sec: 8412.21 - lr: 0.025000
2023-04-06 04:10:13,427 epoch 126 - iter 2650/2650 - loss 0.05091537 - time (sec): 172.72 - samples/sec: 8466.90 - lr: 0.025000
2023-04-06 04:10:13,427 ----------------------------------------------------------------------------------------------------
2023-04-06 04:10:13,427 EPOCH 126 done: loss 0.0509 - lr 0.025000
2023-04-06 04:10:13,427 BAD EPOCHS (no improvement): 2
2023-04-06 04:10:13,430 ----------------------------------------------------------------------------------------------------
2023-04-06 04:10:29,644 epoch 127 - iter 265/2650 - loss 0.04961255 - time (sec): 16.21 - samples/sec: 9013.16 - lr: 0.025000
2023-04-06 04:10:45,935 epoch 127 - iter 530/2650 - loss 0.04955811 - time (sec): 32.50 - samples/sec: 9016.89 - lr: 0.025000
2023-04-06 04:11:02,214 epoch 127 - iter 795/2650 - loss 0.05027632 - time (sec): 48.78 - samples/sec: 9032.23 - lr: 0.025000
2023-04-06 04:11:18,318 epoch 127 - iter 1060/2650 - loss 0.05043359 - time (sec): 64.89 - samples/sec: 9035.36 - lr: 0.025000
2023-04-06 04:11:34,284 epoch 127 - iter 1325/2650 - loss 0.05019920 - time (sec): 80.85 - samples/sec: 9049.78 - lr: 0.025000
2023-04-06 04:11:50,235 epoch 127 - iter 1590/2650 - loss 0.04993960 - time (sec): 96.80 - samples/sec: 9071.65 - lr: 0.025000
2023-04-06 04:12:07,250 epoch 127 - iter 1855/2650 - loss 0.04982113 - time (sec): 113.82 - samples/sec: 9011.77 - lr: 0.025000
2023-04-06 04:12:23,916 epoch 127 - iter 2120/2650 - loss 0.04998035 - time (sec): 130.49 - samples/sec: 8986.42 - lr: 0.025000
2023-04-06 04:12:39,824 epoch 127 - iter 2385/2650 - loss 0.05016587 - time (sec): 146.39 - samples/sec: 8991.06 - lr: 0.025000
2023-04-06 04:12:56,428 epoch 127 - iter 2650/2650 - loss 0.05016524 - time (sec): 163.00 - samples/sec: 8971.70 - lr: 0.025000
2023-04-06 04:12:56,428 ----------------------------------------------------------------------------------------------------
2023-04-06 04:12:56,428 EPOCH 127 done: loss 0.0502 - lr 0.025000
2023-04-06 04:12:56,428 BAD EPOCHS (no improvement): 0
2023-04-06 04:12:56,431 ----------------------------------------------------------------------------------------------------
2023-04-06 04:13:12,624 epoch 128 - iter 265/2650 - loss 0.05118319 - time (sec): 16.19 - samples/sec: 9119.97 - lr: 0.025000
2023-04-06 04:13:28,811 epoch 128 - iter 530/2650 - loss 0.05095173 - time (sec): 32.38 - samples/sec: 9095.81 - lr: 0.025000
2023-04-06 04:13:45,243 epoch 128 - iter 795/2650 - loss 0.05116528 - time (sec): 48.81 - samples/sec: 9021.08 - lr: 0.025000
2023-04-06 04:14:01,562 epoch 128 - iter 1060/2650 - loss 0.05077293 - time (sec): 65.13 - samples/sec: 8989.96 - lr: 0.025000
2023-04-06 04:14:17,403 epoch 128 - iter 1325/2650 - loss 0.05070326 - time (sec): 80.97 - samples/sec: 9038.17 - lr: 0.025000
2023-04-06 04:14:33,425 epoch 128 - iter 1590/2650 - loss 0.05050160 - time (sec): 96.99 - samples/sec: 9038.88 - lr: 0.025000
2023-04-06 04:14:49,260 epoch 128 - iter 1855/2650 - loss 0.05056665 - time (sec): 112.83 - samples/sec: 9056.00 - lr: 0.025000
2023-04-06 04:15:05,645 epoch 128 - iter 2120/2650 - loss 0.05052451 - time (sec): 129.21 - samples/sec: 9050.40 - lr: 0.025000
2023-04-06 04:15:21,619 epoch 128 - iter 2385/2650 - loss 0.05046722 - time (sec): 145.19 - samples/sec: 9061.16 - lr: 0.025000
2023-04-06 04:15:38,332 epoch 128 - iter 2650/2650 - loss 0.05043031 - time (sec): 161.90 - samples/sec: 9032.47 - lr: 0.025000
2023-04-06 04:15:38,332 ----------------------------------------------------------------------------------------------------
2023-04-06 04:15:38,332 EPOCH 128 done: loss 0.0504 - lr 0.025000
2023-04-06 04:15:38,332 BAD EPOCHS (no improvement): 1
2023-04-06 04:15:38,336 ----------------------------------------------------------------------------------------------------
2023-04-06 04:15:54,567 epoch 129 - iter 265/2650 - loss 0.05013012 - time (sec): 16.23 - samples/sec: 9041.98 - lr: 0.025000
2023-04-06 04:16:10,819 epoch 129 - iter 530/2650 - loss 0.05039174 - time (sec): 32.48 - samples/sec: 8987.51 - lr: 0.025000
2023-04-06 04:16:27,383 epoch 129 - iter 795/2650 - loss 0.05050408 - time (sec): 49.05 - samples/sec: 8913.62 - lr: 0.025000
2023-04-06 04:16:43,864 epoch 129 - iter 1060/2650 - loss 0.05047363 - time (sec): 65.53 - samples/sec: 8916.78 - lr: 0.025000
2023-04-06 04:17:00,080 epoch 129 - iter 1325/2650 - loss 0.05045534 - time (sec): 81.74 - samples/sec: 8944.89 - lr: 0.025000
2023-04-06 04:17:16,750 epoch 129 - iter 1590/2650 - loss 0.05058853 - time (sec): 98.41 - samples/sec: 8935.31 - lr: 0.025000
2023-04-06 04:17:32,903 epoch 129 - iter 1855/2650 - loss 0.05054766 - time (sec): 114.57 - samples/sec: 8959.01 - lr: 0.025000
2023-04-06 04:17:48,803 epoch 129 - iter 2120/2650 - loss 0.05054381 - time (sec): 130.47 - samples/sec: 8963.78 - lr: 0.025000
2023-04-06 04:18:05,526 epoch 129 - iter 2385/2650 - loss 0.05052003 - time (sec): 147.19 - samples/sec: 8944.70 - lr: 0.025000
2023-04-06 04:18:21,655 epoch 129 - iter 2650/2650 - loss 0.05040538 - time (sec): 163.32 - samples/sec: 8954.04 - lr: 0.025000
2023-04-06 04:18:21,655 ----------------------------------------------------------------------------------------------------
2023-04-06 04:18:21,655 EPOCH 129 done: loss 0.0504 - lr 0.025000
2023-04-06 04:18:21,655 BAD EPOCHS (no improvement): 2
2023-04-06 04:18:21,659 ----------------------------------------------------------------------------------------------------
2023-04-06 04:18:38,387 epoch 130 - iter 265/2650 - loss 0.04995748 - time (sec): 16.73 - samples/sec: 8716.63 - lr: 0.025000
2023-04-06 04:18:55,040 epoch 130 - iter 530/2650 - loss 0.05000785 - time (sec): 33.38 - samples/sec: 8781.31 - lr: 0.025000
2023-04-06 04:19:11,486 epoch 130 - iter 795/2650 - loss 0.04994313 - time (sec): 49.83 - samples/sec: 8828.55 - lr: 0.025000
2023-04-06 04:19:27,598 epoch 130 - iter 1060/2650 - loss 0.05015361 - time (sec): 65.94 - samples/sec: 8886.46 - lr: 0.025000
2023-04-06 04:19:44,126 epoch 130 - iter 1325/2650 - loss 0.05010817 - time (sec): 82.47 - samples/sec: 8876.84 - lr: 0.025000
2023-04-06 04:20:00,494 epoch 130 - iter 1590/2650 - loss 0.05020379 - time (sec): 98.83 - samples/sec: 8886.81 - lr: 0.025000
2023-04-06 04:20:16,834 epoch 130 - iter 1855/2650 - loss 0.05022573 - time (sec): 115.18 - samples/sec: 8895.40 - lr: 0.025000
2023-04-06 04:20:33,254 epoch 130 - iter 2120/2650 - loss 0.05032549 - time (sec): 131.60 - samples/sec: 8905.32 - lr: 0.025000
2023-04-06 04:20:49,536 epoch 130 - iter 2385/2650 - loss 0.05034189 - time (sec): 147.88 - samples/sec: 8908.16 - lr: 0.025000
2023-04-06 04:21:06,205 epoch 130 - iter 2650/2650 - loss 0.05022060 - time (sec): 164.55 - samples/sec: 8887.23 - lr: 0.025000
2023-04-06 04:21:06,205 ----------------------------------------------------------------------------------------------------
2023-04-06 04:21:06,205 EPOCH 130 done: loss 0.0502 - lr 0.025000
2023-04-06 04:21:06,206 BAD EPOCHS (no improvement): 3
2023-04-06 04:21:06,209 ----------------------------------------------------------------------------------------------------
2023-04-06 04:21:22,644 epoch 131 - iter 265/2650 - loss 0.04921909 - time (sec): 16.44 - samples/sec: 8978.26 - lr: 0.025000
2023-04-06 04:21:38,899 epoch 131 - iter 530/2650 - loss 0.04959992 - time (sec): 32.69 - samples/sec: 8952.12 - lr: 0.025000
2023-04-06 04:21:55,131 epoch 131 - iter 795/2650 - loss 0.04951887 - time (sec): 48.92 - samples/sec: 8962.43 - lr: 0.025000
2023-04-06 04:22:10,914 epoch 131 - iter 1060/2650 - loss 0.04939321 - time (sec): 64.70 - samples/sec: 9030.27 - lr: 0.025000
2023-04-06 04:22:27,223 epoch 131 - iter 1325/2650 - loss 0.04931237 - time (sec): 81.01 - samples/sec: 9039.08 - lr: 0.025000
2023-04-06 04:22:43,876 epoch 131 - iter 1590/2650 - loss 0.04986358 - time (sec): 97.67 - samples/sec: 9005.42 - lr: 0.025000
2023-04-06 04:23:00,497 epoch 131 - iter 1855/2650 - loss 0.04977208 - time (sec): 114.29 - samples/sec: 8966.82 - lr: 0.025000
2023-04-06 04:23:17,877 epoch 131 - iter 2120/2650 - loss 0.05000414 - time (sec): 131.67 - samples/sec: 8903.77 - lr: 0.025000
2023-04-06 04:23:33,890 epoch 131 - iter 2385/2650 - loss 0.05016345 - time (sec): 147.68 - samples/sec: 8919.76 - lr: 0.025000
2023-04-06 04:23:49,855 epoch 131 - iter 2650/2650 - loss 0.05021197 - time (sec): 163.65 - samples/sec: 8936.11 - lr: 0.025000
2023-04-06 04:23:49,856 ----------------------------------------------------------------------------------------------------
2023-04-06 04:23:49,856 EPOCH 131 done: loss 0.0502 - lr 0.025000
2023-04-06 04:23:49,856 Epoch 131: reducing learning rate of group 0 to 1.2500e-02.
2023-04-06 04:23:49,856 BAD EPOCHS (no improvement): 4
2023-04-06 04:23:49,859 ----------------------------------------------------------------------------------------------------
2023-04-06 04:24:06,195 epoch 132 - iter 265/2650 - loss 0.04890988 - time (sec): 16.34 - samples/sec: 9001.65 - lr: 0.012500
2023-04-06 04:24:22,551 epoch 132 - iter 530/2650 - loss 0.04991368 - time (sec): 32.69 - samples/sec: 9039.44 - lr: 0.012500
2023-04-06 04:24:38,876 epoch 132 - iter 795/2650 - loss 0.04976902 - time (sec): 49.02 - samples/sec: 9015.80 - lr: 0.012500
2023-04-06 04:24:55,163 epoch 132 - iter 1060/2650 - loss 0.04978718 - time (sec): 65.30 - samples/sec: 9042.17 - lr: 0.012500
2023-04-06 04:25:11,323 epoch 132 - iter 1325/2650 - loss 0.04984993 - time (sec): 81.46 - samples/sec: 9032.73 - lr: 0.012500
2023-04-06 04:25:27,568 epoch 132 - iter 1590/2650 - loss 0.04991680 - time (sec): 97.71 - samples/sec: 9013.67 - lr: 0.012500
2023-04-06 04:25:43,656 epoch 132 - iter 1855/2650 - loss 0.04988865 - time (sec): 113.80 - samples/sec: 9027.45 - lr: 0.012500
2023-04-06 04:25:59,901 epoch 132 - iter 2120/2650 - loss 0.04980928 - time (sec): 130.04 - samples/sec: 9014.88 - lr: 0.012500
2023-04-06 04:26:15,856 epoch 132 - iter 2385/2650 - loss 0.04970892 - time (sec): 146.00 - samples/sec: 9028.59 - lr: 0.012500
2023-04-06 04:26:31,902 epoch 132 - iter 2650/2650 - loss 0.04979805 - time (sec): 162.04 - samples/sec: 9024.56 - lr: 0.012500
2023-04-06 04:26:31,902 ----------------------------------------------------------------------------------------------------
2023-04-06 04:26:31,902 EPOCH 132 done: loss 0.0498 - lr 0.012500
2023-04-06 04:26:31,902 BAD EPOCHS (no improvement): 0
2023-04-06 04:26:31,905 ----------------------------------------------------------------------------------------------------
2023-04-06 04:26:47,937 epoch 133 - iter 265/2650 - loss 0.05004868 - time (sec): 16.03 - samples/sec: 8969.67 - lr: 0.012500
2023-04-06 04:27:04,386 epoch 133 - iter 530/2650 - loss 0.05080529 - time (sec): 32.48 - samples/sec: 8947.05 - lr: 0.012500
2023-04-06 04:27:20,643 epoch 133 - iter 795/2650 - loss 0.05015849 - time (sec): 48.74 - samples/sec: 8970.08 - lr: 0.012500
2023-04-06 04:27:37,004 epoch 133 - iter 1060/2650 - loss 0.04981392 - time (sec): 65.10 - samples/sec: 8988.05 - lr: 0.012500
2023-04-06 04:27:53,642 epoch 133 - iter 1325/2650 - loss 0.04986352 - time (sec): 81.74 - samples/sec: 8975.19 - lr: 0.012500
2023-04-06 04:28:09,774 epoch 133 - iter 1590/2650 - loss 0.04969120 - time (sec): 97.87 - samples/sec: 8978.79 - lr: 0.012500
2023-04-06 04:28:25,730 epoch 133 - iter 1855/2650 - loss 0.04966732 - time (sec): 113.82 - samples/sec: 8997.84 - lr: 0.012500
2023-04-06 04:28:41,785 epoch 133 - iter 2120/2650 - loss 0.04963404 - time (sec): 129.88 - samples/sec: 9000.62 - lr: 0.012500
2023-04-06 04:28:57,897 epoch 133 - iter 2385/2650 - loss 0.04971444 - time (sec): 145.99 - samples/sec: 9024.98 - lr: 0.012500
2023-04-06 04:29:14,270 epoch 133 - iter 2650/2650 - loss 0.04958320 - time (sec): 162.36 - samples/sec: 9006.66 - lr: 0.012500
2023-04-06 04:29:14,270 ----------------------------------------------------------------------------------------------------
2023-04-06 04:29:14,270 EPOCH 133 done: loss 0.0496 - lr 0.012500
2023-04-06 04:29:14,270 BAD EPOCHS (no improvement): 0
2023-04-06 04:29:14,273 ----------------------------------------------------------------------------------------------------
2023-04-06 04:29:30,720 epoch 134 - iter 265/2650 - loss 0.05036371 - time (sec): 16.45 - samples/sec: 8853.99 - lr: 0.012500
2023-04-06 04:29:47,629 epoch 134 - iter 530/2650 - loss 0.04997601 - time (sec): 33.36 - samples/sec: 8783.51 - lr: 0.012500
2023-04-06 04:30:03,857 epoch 134 - iter 795/2650 - loss 0.04922824 - time (sec): 49.58 - samples/sec: 8857.53 - lr: 0.012500
2023-04-06 04:30:20,306 epoch 134 - iter 1060/2650 - loss 0.04884212 - time (sec): 66.03 - samples/sec: 8844.57 - lr: 0.012500
2023-04-06 04:30:36,697 epoch 134 - iter 1325/2650 - loss 0.04916900 - time (sec): 82.42 - samples/sec: 8845.03 - lr: 0.012500
2023-04-06 04:30:52,743 epoch 134 - iter 1590/2650 - loss 0.04897559 - time (sec): 98.47 - samples/sec: 8871.96 - lr: 0.012500
2023-04-06 04:31:09,387 epoch 134 - iter 1855/2650 - loss 0.04894621 - time (sec): 115.11 - samples/sec: 8873.53 - lr: 0.012500
2023-04-06 04:31:26,000 epoch 134 - iter 2120/2650 - loss 0.04903555 - time (sec): 131.73 - samples/sec: 8871.56 - lr: 0.012500
2023-04-06 04:31:42,279 epoch 134 - iter 2385/2650 - loss 0.04916961 - time (sec): 148.01 - samples/sec: 8895.64 - lr: 0.012500
2023-04-06 04:31:58,441 epoch 134 - iter 2650/2650 - loss 0.04921990 - time (sec): 164.17 - samples/sec: 8907.78 - lr: 0.012500
2023-04-06 04:31:58,441 ----------------------------------------------------------------------------------------------------
2023-04-06 04:31:58,441 EPOCH 134 done: loss 0.0492 - lr 0.012500
2023-04-06 04:31:58,441 BAD EPOCHS (no improvement): 0
2023-04-06 04:31:58,444 ----------------------------------------------------------------------------------------------------
2023-04-06 04:32:14,709 epoch 135 - iter 265/2650 - loss 0.05126047 - time (sec): 16.27 - samples/sec: 8996.72 - lr: 0.012500
2023-04-06 04:32:31,819 epoch 135 - iter 530/2650 - loss 0.04952275 - time (sec): 33.37 - samples/sec: 8797.97 - lr: 0.012500
2023-04-06 04:32:48,451 epoch 135 - iter 795/2650 - loss 0.04923221 - time (sec): 50.01 - samples/sec: 8794.81 - lr: 0.012500
2023-04-06 04:33:05,092 epoch 135 - iter 1060/2650 - loss 0.04934972 - time (sec): 66.65 - samples/sec: 8761.45 - lr: 0.012500
2023-04-06 04:33:21,409 epoch 135 - iter 1325/2650 - loss 0.04927097 - time (sec): 82.96 - samples/sec: 8816.58 - lr: 0.012500
2023-04-06 04:33:37,585 epoch 135 - iter 1590/2650 - loss 0.04928655 - time (sec): 99.14 - samples/sec: 8857.00 - lr: 0.012500
2023-04-06 04:33:54,166 epoch 135 - iter 1855/2650 - loss 0.04939863 - time (sec): 115.72 - samples/sec: 8865.05 - lr: 0.012500
2023-04-06 04:34:10,729 epoch 135 - iter 2120/2650 - loss 0.04929615 - time (sec): 132.29 - samples/sec: 8847.01 - lr: 0.012500
2023-04-06 04:34:27,230 epoch 135 - iter 2385/2650 - loss 0.04928678 - time (sec): 148.79 - samples/sec: 8841.67 - lr: 0.012500
2023-04-06 04:34:43,797 epoch 135 - iter 2650/2650 - loss 0.04935996 - time (sec): 165.35 - samples/sec: 8843.89 - lr: 0.012500
2023-04-06 04:34:43,797 ----------------------------------------------------------------------------------------------------
2023-04-06 04:34:43,797 EPOCH 135 done: loss 0.0494 - lr 0.012500
2023-04-06 04:34:43,797 BAD EPOCHS (no improvement): 1
2023-04-06 04:34:43,800 ----------------------------------------------------------------------------------------------------
2023-04-06 04:35:00,290 epoch 136 - iter 265/2650 - loss 0.04867925 - time (sec): 16.49 - samples/sec: 8956.42 - lr: 0.012500
2023-04-06 04:35:16,774 epoch 136 - iter 530/2650 - loss 0.04902713 - time (sec): 32.97 - samples/sec: 8926.98 - lr: 0.012500
2023-04-06 04:35:33,023 epoch 136 - iter 795/2650 - loss 0.04882591 - time (sec): 49.22 - samples/sec: 8988.91 - lr: 0.012500
2023-04-06 04:35:49,277 epoch 136 - iter 1060/2650 - loss 0.04900463 - time (sec): 65.48 - samples/sec: 8991.15 - lr: 0.012500
2023-04-06 04:36:05,418 epoch 136 - iter 1325/2650 - loss 0.04899882 - time (sec): 81.62 - samples/sec: 9006.51 - lr: 0.012500
2023-04-06 04:36:21,527 epoch 136 - iter 1590/2650 - loss 0.04904635 - time (sec): 97.73 - samples/sec: 8992.37 - lr: 0.012500
2023-04-06 04:36:37,799 epoch 136 - iter 1855/2650 - loss 0.04915001 - time (sec): 114.00 - samples/sec: 8997.86 - lr: 0.012500
2023-04-06 04:36:53,775 epoch 136 - iter 2120/2650 - loss 0.04914839 - time (sec): 129.98 - samples/sec: 9000.23 - lr: 0.012500
2023-04-06 04:37:09,617 epoch 136 - iter 2385/2650 - loss 0.04902346 - time (sec): 145.82 - samples/sec: 9018.33 - lr: 0.012500
2023-04-06 04:37:26,153 epoch 136 - iter 2650/2650 - loss 0.04895925 - time (sec): 162.35 - samples/sec: 9007.27 - lr: 0.012500
2023-04-06 04:37:26,154 ----------------------------------------------------------------------------------------------------
2023-04-06 04:37:26,154 EPOCH 136 done: loss 0.0490 - lr 0.012500
2023-04-06 04:37:26,154 BAD EPOCHS (no improvement): 0
2023-04-06 04:37:26,156 ----------------------------------------------------------------------------------------------------
2023-04-06 04:37:42,323 epoch 137 - iter 265/2650 - loss 0.05017596 - time (sec): 16.17 - samples/sec: 8986.01 - lr: 0.012500
2023-04-06 04:37:58,176 epoch 137 - iter 530/2650 - loss 0.04943514 - time (sec): 32.02 - samples/sec: 9021.43 - lr: 0.012500
2023-04-06 04:38:14,474 epoch 137 - iter 795/2650 - loss 0.04908270 - time (sec): 48.32 - samples/sec: 9025.46 - lr: 0.012500
2023-04-06 04:38:30,637 epoch 137 - iter 1060/2650 - loss 0.04909563 - time (sec): 64.48 - samples/sec: 9037.16 - lr: 0.012500
2023-04-06 04:38:46,930 epoch 137 - iter 1325/2650 - loss 0.04909408 - time (sec): 80.77 - samples/sec: 9024.70 - lr: 0.012500
2023-04-06 04:39:03,644 epoch 137 - iter 1590/2650 - loss 0.04911359 - time (sec): 97.49 - samples/sec: 9006.88 - lr: 0.012500
2023-04-06 04:39:19,916 epoch 137 - iter 1855/2650 - loss 0.04914775 - time (sec): 113.76 - samples/sec: 8980.09 - lr: 0.012500
2023-04-06 04:39:36,721 epoch 137 - iter 2120/2650 - loss 0.04922320 - time (sec): 130.56 - samples/sec: 8969.12 - lr: 0.012500
2023-04-06 04:39:53,247 epoch 137 - iter 2385/2650 - loss 0.04923124 - time (sec): 147.09 - samples/sec: 8963.87 - lr: 0.012500
2023-04-06 04:40:09,124 epoch 137 - iter 2650/2650 - loss 0.04937072 - time (sec): 162.97 - samples/sec: 8973.31 - lr: 0.012500
2023-04-06 04:40:09,125 ----------------------------------------------------------------------------------------------------
2023-04-06 04:40:09,125 EPOCH 137 done: loss 0.0494 - lr 0.012500
2023-04-06 04:40:09,125 BAD EPOCHS (no improvement): 1
2023-04-06 04:40:09,128 ----------------------------------------------------------------------------------------------------
2023-04-06 04:40:25,192 epoch 138 - iter 265/2650 - loss 0.04805614 - time (sec): 16.06 - samples/sec: 9002.23 - lr: 0.012500
2023-04-06 04:40:41,490 epoch 138 - iter 530/2650 - loss 0.04772542 - time (sec): 32.36 - samples/sec: 9000.99 - lr: 0.012500
2023-04-06 04:40:57,928 epoch 138 - iter 795/2650 - loss 0.04808721 - time (sec): 48.80 - samples/sec: 8964.19 - lr: 0.012500
2023-04-06 04:41:15,109 epoch 138 - iter 1060/2650 - loss 0.04836111 - time (sec): 65.98 - samples/sec: 8870.91 - lr: 0.012500
2023-04-06 04:41:31,741 epoch 138 - iter 1325/2650 - loss 0.04838121 - time (sec): 82.61 - samples/sec: 8873.36 - lr: 0.012500
2023-04-06 04:41:47,910 epoch 138 - iter 1590/2650 - loss 0.04864762 - time (sec): 98.78 - samples/sec: 8908.27 - lr: 0.012500
2023-04-06 04:42:03,764 epoch 138 - iter 1855/2650 - loss 0.04843871 - time (sec): 114.64 - samples/sec: 8939.86 - lr: 0.012500
2023-04-06 04:42:19,438 epoch 138 - iter 2120/2650 - loss 0.04866367 - time (sec): 130.31 - samples/sec: 8973.27 - lr: 0.012500
2023-04-06 04:42:35,576 epoch 138 - iter 2385/2650 - loss 0.04863409 - time (sec): 146.45 - samples/sec: 8987.06 - lr: 0.012500
2023-04-06 04:42:51,566 epoch 138 - iter 2650/2650 - loss 0.04850358 - time (sec): 162.44 - samples/sec: 9002.62 - lr: 0.012500
2023-04-06 04:42:51,566 ----------------------------------------------------------------------------------------------------
2023-04-06 04:42:51,566 EPOCH 138 done: loss 0.0485 - lr 0.012500
2023-04-06 04:42:51,566 BAD EPOCHS (no improvement): 0
2023-04-06 04:42:51,570 ----------------------------------------------------------------------------------------------------
2023-04-06 04:43:07,564 epoch 139 - iter 265/2650 - loss 0.04919852 - time (sec): 15.99 - samples/sec: 9158.00 - lr: 0.012500
2023-04-06 04:43:24,018 epoch 139 - iter 530/2650 - loss 0.04930347 - time (sec): 32.45 - samples/sec: 9043.03 - lr: 0.012500
2023-04-06 04:43:40,086 epoch 139 - iter 795/2650 - loss 0.04885122 - time (sec): 48.52 - samples/sec: 9071.55 - lr: 0.012500
2023-04-06 04:43:56,239 epoch 139 - iter 1060/2650 - loss 0.04875251 - time (sec): 64.67 - samples/sec: 9063.48 - lr: 0.012500
2023-04-06 04:44:12,292 epoch 139 - iter 1325/2650 - loss 0.04876039 - time (sec): 80.72 - samples/sec: 9068.36 - lr: 0.012500
2023-04-06 04:44:28,689 epoch 139 - iter 1590/2650 - loss 0.04868383 - time (sec): 97.12 - samples/sec: 9057.83 - lr: 0.012500
2023-04-06 04:44:44,610 epoch 139 - iter 1855/2650 - loss 0.04862287 - time (sec): 113.04 - samples/sec: 9068.09 - lr: 0.012500
2023-04-06 04:45:01,155 epoch 139 - iter 2120/2650 - loss 0.04884490 - time (sec): 129.59 - samples/sec: 9034.12 - lr: 0.012500
2023-04-06 04:45:17,243 epoch 139 - iter 2385/2650 - loss 0.04876262 - time (sec): 145.67 - samples/sec: 9041.60 - lr: 0.012500
2023-04-06 04:45:33,397 epoch 139 - iter 2650/2650 - loss 0.04871231 - time (sec): 161.83 - samples/sec: 9036.56 - lr: 0.012500
2023-04-06 04:45:33,397 ----------------------------------------------------------------------------------------------------
2023-04-06 04:45:33,397 EPOCH 139 done: loss 0.0487 - lr 0.012500
2023-04-06 04:45:33,397 BAD EPOCHS (no improvement): 1
2023-04-06 04:45:33,401 ----------------------------------------------------------------------------------------------------
2023-04-06 04:45:49,668 epoch 140 - iter 265/2650 - loss 0.04789410 - time (sec): 16.27 - samples/sec: 8934.23 - lr: 0.012500
2023-04-06 04:46:05,487 epoch 140 - iter 530/2650 - loss 0.04814229 - time (sec): 32.09 - samples/sec: 9058.82 - lr: 0.012500
2023-04-06 04:46:21,492 epoch 140 - iter 795/2650 - loss 0.04853574 - time (sec): 48.09 - samples/sec: 9083.54 - lr: 0.012500
2023-04-06 04:46:37,636 epoch 140 - iter 1060/2650 - loss 0.04856547 - time (sec): 64.24 - samples/sec: 9074.61 - lr: 0.012500
2023-04-06 04:46:53,771 epoch 140 - iter 1325/2650 - loss 0.04870855 - time (sec): 80.37 - samples/sec: 9072.24 - lr: 0.012500
2023-04-06 04:47:09,944 epoch 140 - iter 1590/2650 - loss 0.04866959 - time (sec): 96.54 - samples/sec: 9066.43 - lr: 0.012500
2023-04-06 04:47:26,243 epoch 140 - iter 1855/2650 - loss 0.04885387 - time (sec): 112.84 - samples/sec: 9059.46 - lr: 0.012500
2023-04-06 04:47:42,336 epoch 140 - iter 2120/2650 - loss 0.04881756 - time (sec): 128.94 - samples/sec: 9057.54 - lr: 0.012500
2023-04-06 04:47:58,668 epoch 140 - iter 2385/2650 - loss 0.04862912 - time (sec): 145.27 - samples/sec: 9060.18 - lr: 0.012500
2023-04-06 04:48:15,126 epoch 140 - iter 2650/2650 - loss 0.04856371 - time (sec): 161.72 - samples/sec: 9042.30 - lr: 0.012500
2023-04-06 04:48:15,126 ----------------------------------------------------------------------------------------------------
2023-04-06 04:48:15,126 EPOCH 140 done: loss 0.0486 - lr 0.012500
2023-04-06 04:48:15,126 BAD EPOCHS (no improvement): 2
2023-04-06 04:48:15,130 ----------------------------------------------------------------------------------------------------
2023-04-06 04:48:30,996 epoch 141 - iter 265/2650 - loss 0.04762602 - time (sec): 15.87 - samples/sec: 9103.17 - lr: 0.012500
2023-04-06 04:48:47,145 epoch 141 - iter 530/2650 - loss 0.04783612 - time (sec): 32.01 - samples/sec: 9107.98 - lr: 0.012500
2023-04-06 04:49:02,846 epoch 141 - iter 795/2650 - loss 0.04764188 - time (sec): 47.72 - samples/sec: 9152.76 - lr: 0.012500
2023-04-06 04:49:18,920 epoch 141 - iter 1060/2650 - loss 0.04758773 - time (sec): 63.79 - samples/sec: 9145.45 - lr: 0.012500
2023-04-06 04:49:34,965 epoch 141 - iter 1325/2650 - loss 0.04773566 - time (sec): 79.84 - samples/sec: 9149.76 - lr: 0.012500
2023-04-06 04:49:51,355 epoch 141 - iter 1590/2650 - loss 0.04798015 - time (sec): 96.23 - samples/sec: 9129.49 - lr: 0.012500
2023-04-06 04:50:07,768 epoch 141 - iter 1855/2650 - loss 0.04799383 - time (sec): 112.64 - samples/sec: 9104.39 - lr: 0.012500
2023-04-06 04:50:23,775 epoch 141 - iter 2120/2650 - loss 0.04820040 - time (sec): 128.64 - samples/sec: 9103.50 - lr: 0.012500
2023-04-06 04:50:39,859 epoch 141 - iter 2385/2650 - loss 0.04837004 - time (sec): 144.73 - samples/sec: 9098.48 - lr: 0.012500
2023-04-06 04:50:56,875 epoch 141 - iter 2650/2650 - loss 0.04838776 - time (sec): 161.74 - samples/sec: 9041.17 - lr: 0.012500
2023-04-06 04:50:56,875 ----------------------------------------------------------------------------------------------------
2023-04-06 04:50:56,875 EPOCH 141 done: loss 0.0484 - lr 0.012500
2023-04-06 04:50:56,875 BAD EPOCHS (no improvement): 0
2023-04-06 04:50:56,878 ----------------------------------------------------------------------------------------------------
2023-04-06 04:51:13,425 epoch 142 - iter 265/2650 - loss 0.04957574 - time (sec): 16.55 - samples/sec: 8784.38 - lr: 0.012500
2023-04-06 04:51:29,799 epoch 142 - iter 530/2650 - loss 0.04932068 - time (sec): 32.92 - samples/sec: 8846.72 - lr: 0.012500
2023-04-06 04:51:46,249 epoch 142 - iter 795/2650 - loss 0.04888625 - time (sec): 49.37 - samples/sec: 8861.35 - lr: 0.012500
2023-04-06 04:52:02,690 epoch 142 - iter 1060/2650 - loss 0.04890553 - time (sec): 65.81 - samples/sec: 8882.68 - lr: 0.012500
2023-04-06 04:52:18,796 epoch 142 - iter 1325/2650 - loss 0.04892073 - time (sec): 81.92 - samples/sec: 8917.55 - lr: 0.012500
2023-04-06 04:52:35,617 epoch 142 - iter 1590/2650 - loss 0.04905328 - time (sec): 98.74 - samples/sec: 8888.26 - lr: 0.012500
2023-04-06 04:52:51,756 epoch 142 - iter 1855/2650 - loss 0.04889314 - time (sec): 114.88 - samples/sec: 8925.08 - lr: 0.012500
2023-04-06 04:53:08,364 epoch 142 - iter 2120/2650 - loss 0.04884848 - time (sec): 131.49 - samples/sec: 8900.37 - lr: 0.012500
2023-04-06 04:53:25,021 epoch 142 - iter 2385/2650 - loss 0.04874336 - time (sec): 148.14 - samples/sec: 8891.62 - lr: 0.012500
2023-04-06 04:53:41,100 epoch 142 - iter 2650/2650 - loss 0.04867032 - time (sec): 164.22 - samples/sec: 8904.82 - lr: 0.012500
2023-04-06 04:53:41,100 ----------------------------------------------------------------------------------------------------
2023-04-06 04:53:41,100 EPOCH 142 done: loss 0.0487 - lr 0.012500
2023-04-06 04:53:41,100 BAD EPOCHS (no improvement): 1
2023-04-06 04:53:41,103 ----------------------------------------------------------------------------------------------------
2023-04-06 04:53:57,235 epoch 143 - iter 265/2650 - loss 0.04833053 - time (sec): 16.13 - samples/sec: 9054.28 - lr: 0.012500
2023-04-06 04:54:13,560 epoch 143 - iter 530/2650 - loss 0.04927292 - time (sec): 32.46 - samples/sec: 9049.88 - lr: 0.012500
2023-04-06 04:54:29,657 epoch 143 - iter 795/2650 - loss 0.04888748 - time (sec): 48.55 - samples/sec: 9051.46 - lr: 0.012500
2023-04-06 04:54:45,773 epoch 143 - iter 1060/2650 - loss 0.04871991 - time (sec): 64.67 - samples/sec: 9042.00 - lr: 0.012500
2023-04-06 04:55:01,981 epoch 143 - iter 1325/2650 - loss 0.04881187 - time (sec): 80.88 - samples/sec: 9020.65 - lr: 0.012500
2023-04-06 04:55:18,499 epoch 143 - iter 1590/2650 - loss 0.04853414 - time (sec): 97.40 - samples/sec: 9008.06 - lr: 0.012500
2023-04-06 04:55:34,663 epoch 143 - iter 1855/2650 - loss 0.04859730 - time (sec): 113.56 - samples/sec: 9021.90 - lr: 0.012500
2023-04-06 04:55:51,143 epoch 143 - iter 2120/2650 - loss 0.04856852 - time (sec): 130.04 - samples/sec: 9016.03 - lr: 0.012500
2023-04-06 04:56:07,306 epoch 143 - iter 2385/2650 - loss 0.04847779 - time (sec): 146.20 - samples/sec: 9010.65 - lr: 0.012500
2023-04-06 04:56:23,226 epoch 143 - iter 2650/2650 - loss 0.04839856 - time (sec): 162.12 - samples/sec: 9020.09 - lr: 0.012500
2023-04-06 04:56:23,226 ----------------------------------------------------------------------------------------------------
2023-04-06 04:56:23,226 EPOCH 143 done: loss 0.0484 - lr 0.012500
2023-04-06 04:56:23,226 BAD EPOCHS (no improvement): 2
2023-04-06 04:56:23,229 ----------------------------------------------------------------------------------------------------
2023-04-06 04:56:39,713 epoch 144 - iter 265/2650 - loss 0.04762453 - time (sec): 16.48 - samples/sec: 8953.30 - lr: 0.012500
2023-04-06 04:56:55,901 epoch 144 - iter 530/2650 - loss 0.04778793 - time (sec): 32.67 - samples/sec: 8981.34 - lr: 0.012500
2023-04-06 04:57:12,130 epoch 144 - iter 795/2650 - loss 0.04768815 - time (sec): 48.90 - samples/sec: 8978.28 - lr: 0.012500
2023-04-06 04:57:28,408 epoch 144 - iter 1060/2650 - loss 0.04758435 - time (sec): 65.18 - samples/sec: 8993.78 - lr: 0.012500
2023-04-06 04:57:44,891 epoch 144 - iter 1325/2650 - loss 0.04762502 - time (sec): 81.66 - samples/sec: 8949.73 - lr: 0.012500
2023-04-06 04:58:01,483 epoch 144 - iter 1590/2650 - loss 0.04781208 - time (sec): 98.25 - samples/sec: 8934.98 - lr: 0.012500
2023-04-06 04:58:18,475 epoch 144 - iter 1855/2650 - loss 0.04805049 - time (sec): 115.25 - samples/sec: 8903.48 - lr: 0.012500
2023-04-06 04:58:34,557 epoch 144 - iter 2120/2650 - loss 0.04801207 - time (sec): 131.33 - samples/sec: 8919.86 - lr: 0.012500
2023-04-06 04:58:50,565 epoch 144 - iter 2385/2650 - loss 0.04791895 - time (sec): 147.34 - samples/sec: 8939.76 - lr: 0.012500
2023-04-06 04:59:06,716 epoch 144 - iter 2650/2650 - loss 0.04801111 - time (sec): 163.49 - samples/sec: 8944.83 - lr: 0.012500
2023-04-06 04:59:06,717 ----------------------------------------------------------------------------------------------------
2023-04-06 04:59:06,717 EPOCH 144 done: loss 0.0480 - lr 0.012500
2023-04-06 04:59:06,717 BAD EPOCHS (no improvement): 0
2023-04-06 04:59:06,720 ----------------------------------------------------------------------------------------------------
2023-04-06 04:59:23,027 epoch 145 - iter 265/2650 - loss 0.04897877 - time (sec): 16.31 - samples/sec: 9012.93 - lr: 0.012500
2023-04-06 04:59:39,070 epoch 145 - iter 530/2650 - loss 0.04836772 - time (sec): 32.35 - samples/sec: 9030.86 - lr: 0.012500
2023-04-06 04:59:55,257 epoch 145 - iter 795/2650 - loss 0.04820067 - time (sec): 48.54 - samples/sec: 9038.72 - lr: 0.012500
2023-04-06 05:00:11,134 epoch 145 - iter 1060/2650 - loss 0.04841203 - time (sec): 64.41 - samples/sec: 9080.90 - lr: 0.012500
2023-04-06 05:00:27,231 epoch 145 - iter 1325/2650 - loss 0.04843123 - time (sec): 80.51 - samples/sec: 9065.46 - lr: 0.012500
2023-04-06 05:00:43,064 epoch 145 - iter 1590/2650 - loss 0.04851784 - time (sec): 96.34 - samples/sec: 9086.32 - lr: 0.012500
2023-04-06 05:00:59,227 epoch 145 - iter 1855/2650 - loss 0.04870029 - time (sec): 112.51 - samples/sec: 9092.35 - lr: 0.012500
2023-04-06 05:01:15,599 epoch 145 - iter 2120/2650 - loss 0.04870116 - time (sec): 128.88 - samples/sec: 9089.45 - lr: 0.012500
2023-04-06 05:01:32,038 epoch 145 - iter 2385/2650 - loss 0.04836246 - time (sec): 145.32 - samples/sec: 9065.35 - lr: 0.012500
2023-04-06 05:01:47,814 epoch 145 - iter 2650/2650 - loss 0.04840123 - time (sec): 161.09 - samples/sec: 9077.67 - lr: 0.012500
2023-04-06 05:01:47,814 ----------------------------------------------------------------------------------------------------
2023-04-06 05:01:47,814 EPOCH 145 done: loss 0.0484 - lr 0.012500
2023-04-06 05:01:47,814 BAD EPOCHS (no improvement): 1
2023-04-06 05:01:47,819 ----------------------------------------------------------------------------------------------------
2023-04-06 05:02:04,096 epoch 146 - iter 265/2650 - loss 0.04613910 - time (sec): 16.28 - samples/sec: 9008.89 - lr: 0.012500
2023-04-06 05:02:20,260 epoch 146 - iter 530/2650 - loss 0.04737804 - time (sec): 32.44 - samples/sec: 9002.47 - lr: 0.012500
2023-04-06 05:02:36,532 epoch 146 - iter 795/2650 - loss 0.04772967 - time (sec): 48.71 - samples/sec: 8976.88 - lr: 0.012500
2023-04-06 05:02:52,872 epoch 146 - iter 1060/2650 - loss 0.04832398 - time (sec): 65.05 - samples/sec: 8969.85 - lr: 0.012500
2023-04-06 05:03:08,795 epoch 146 - iter 1325/2650 - loss 0.04821416 - time (sec): 80.98 - samples/sec: 9026.78 - lr: 0.012500
2023-04-06 05:03:24,386 epoch 146 - iter 1590/2650 - loss 0.04833819 - time (sec): 96.57 - samples/sec: 9071.33 - lr: 0.012500
2023-04-06 05:03:40,468 epoch 146 - iter 1855/2650 - loss 0.04822089 - time (sec): 112.65 - samples/sec: 9067.65 - lr: 0.012500
2023-04-06 05:03:56,974 epoch 146 - iter 2120/2650 - loss 0.04827391 - time (sec): 129.15 - samples/sec: 9056.18 - lr: 0.012500
2023-04-06 05:04:12,962 epoch 146 - iter 2385/2650 - loss 0.04825294 - time (sec): 145.14 - samples/sec: 9056.12 - lr: 0.012500
2023-04-06 05:04:29,312 epoch 146 - iter 2650/2650 - loss 0.04817359 - time (sec): 161.49 - samples/sec: 9055.31 - lr: 0.012500
2023-04-06 05:04:29,312 ----------------------------------------------------------------------------------------------------
2023-04-06 05:04:29,312 EPOCH 146 done: loss 0.0482 - lr 0.012500
2023-04-06 05:04:29,312 BAD EPOCHS (no improvement): 2
2023-04-06 05:04:29,315 ----------------------------------------------------------------------------------------------------
2023-04-06 05:04:45,431 epoch 147 - iter 265/2650 - loss 0.04727039 - time (sec): 16.12 - samples/sec: 9061.39 - lr: 0.012500
2023-04-06 05:05:01,778 epoch 147 - iter 530/2650 - loss 0.04827713 - time (sec): 32.46 - samples/sec: 8982.04 - lr: 0.012500
2023-04-06 05:05:17,991 epoch 147 - iter 795/2650 - loss 0.04797436 - time (sec): 48.68 - samples/sec: 8994.47 - lr: 0.012500
2023-04-06 05:05:34,115 epoch 147 - iter 1060/2650 - loss 0.04762283 - time (sec): 64.80 - samples/sec: 9021.30 - lr: 0.012500
2023-04-06 05:05:50,377 epoch 147 - iter 1325/2650 - loss 0.04750058 - time (sec): 81.06 - samples/sec: 9031.31 - lr: 0.012500
2023-04-06 05:06:06,563 epoch 147 - iter 1590/2650 - loss 0.04777064 - time (sec): 97.25 - samples/sec: 9029.51 - lr: 0.012500
2023-04-06 05:06:22,682 epoch 147 - iter 1855/2650 - loss 0.04771270 - time (sec): 113.37 - samples/sec: 9034.61 - lr: 0.012500
2023-04-06 05:06:38,900 epoch 147 - iter 2120/2650 - loss 0.04746677 - time (sec): 129.59 - samples/sec: 9040.43 - lr: 0.012500
2023-04-06 05:06:55,166 epoch 147 - iter 2385/2650 - loss 0.04746234 - time (sec): 145.85 - samples/sec: 9027.23 - lr: 0.012500
2023-04-06 05:07:11,309 epoch 147 - iter 2650/2650 - loss 0.04759971 - time (sec): 161.99 - samples/sec: 9027.24 - lr: 0.012500
2023-04-06 05:07:11,309 ----------------------------------------------------------------------------------------------------
2023-04-06 05:07:11,309 EPOCH 147 done: loss 0.0476 - lr 0.012500
2023-04-06 05:07:11,309 BAD EPOCHS (no improvement): 0
2023-04-06 05:07:11,313 ----------------------------------------------------------------------------------------------------
2023-04-06 05:07:27,735 epoch 148 - iter 265/2650 - loss 0.04794819 - time (sec): 16.42 - samples/sec: 8922.45 - lr: 0.012500
2023-04-06 05:07:43,864 epoch 148 - iter 530/2650 - loss 0.04718949 - time (sec): 32.55 - samples/sec: 8986.81 - lr: 0.012500
2023-04-06 05:08:00,219 epoch 148 - iter 795/2650 - loss 0.04753544 - time (sec): 48.91 - samples/sec: 8954.62 - lr: 0.012500
2023-04-06 05:08:16,448 epoch 148 - iter 1060/2650 - loss 0.04748159 - time (sec): 65.13 - samples/sec: 8985.00 - lr: 0.012500
2023-04-06 05:08:32,588 epoch 148 - iter 1325/2650 - loss 0.04753847 - time (sec): 81.27 - samples/sec: 9000.63 - lr: 0.012500
2023-04-06 05:08:48,842 epoch 148 - iter 1590/2650 - loss 0.04770949 - time (sec): 97.53 - samples/sec: 8996.08 - lr: 0.012500
2023-04-06 05:09:05,542 epoch 148 - iter 1855/2650 - loss 0.04778393 - time (sec): 114.23 - samples/sec: 8977.21 - lr: 0.012500
2023-04-06 05:09:21,643 epoch 148 - iter 2120/2650 - loss 0.04775299 - time (sec): 130.33 - samples/sec: 8986.71 - lr: 0.012500
2023-04-06 05:09:37,632 epoch 148 - iter 2385/2650 - loss 0.04779292 - time (sec): 146.32 - samples/sec: 8992.65 - lr: 0.012500
2023-04-06 05:09:53,876 epoch 148 - iter 2650/2650 - loss 0.04773196 - time (sec): 162.56 - samples/sec: 8995.69 - lr: 0.012500
2023-04-06 05:09:53,876 ----------------------------------------------------------------------------------------------------
2023-04-06 05:09:53,876 EPOCH 148 done: loss 0.0477 - lr 0.012500
2023-04-06 05:09:53,876 BAD EPOCHS (no improvement): 1
2023-04-06 05:09:53,880 ----------------------------------------------------------------------------------------------------
2023-04-06 05:10:10,057 epoch 149 - iter 265/2650 - loss 0.04857946 - time (sec): 16.18 - samples/sec: 9088.22 - lr: 0.012500
2023-04-06 05:10:26,169 epoch 149 - iter 530/2650 - loss 0.04779545 - time (sec): 32.29 - samples/sec: 9073.70 - lr: 0.012500
2023-04-06 05:10:42,618 epoch 149 - iter 795/2650 - loss 0.04758289 - time (sec): 48.74 - samples/sec: 9056.68 - lr: 0.012500
2023-04-06 05:10:59,137 epoch 149 - iter 1060/2650 - loss 0.04721626 - time (sec): 65.26 - samples/sec: 9049.74 - lr: 0.012500
2023-04-06 05:11:15,098 epoch 149 - iter 1325/2650 - loss 0.04716711 - time (sec): 81.22 - samples/sec: 9053.13 - lr: 0.012500
2023-04-06 05:11:30,857 epoch 149 - iter 1590/2650 - loss 0.04747416 - time (sec): 96.98 - samples/sec: 9078.14 - lr: 0.012500
2023-04-06 05:11:47,092 epoch 149 - iter 1855/2650 - loss 0.04758085 - time (sec): 113.21 - samples/sec: 9065.12 - lr: 0.012500
2023-04-06 05:12:02,828 epoch 149 - iter 2120/2650 - loss 0.04762750 - time (sec): 128.95 - samples/sec: 9081.41 - lr: 0.012500
2023-04-06 05:12:18,562 epoch 149 - iter 2385/2650 - loss 0.04762145 - time (sec): 144.68 - samples/sec: 9095.97 - lr: 0.012500
2023-04-06 05:12:34,867 epoch 149 - iter 2650/2650 - loss 0.04778876 - time (sec): 160.99 - samples/sec: 9083.73 - lr: 0.012500
2023-04-06 05:12:34,867 ----------------------------------------------------------------------------------------------------
2023-04-06 05:12:34,867 EPOCH 149 done: loss 0.0478 - lr 0.012500
2023-04-06 05:12:34,867 BAD EPOCHS (no improvement): 2
2023-04-06 05:12:34,870 ----------------------------------------------------------------------------------------------------
2023-04-06 05:12:50,876 epoch 150 - iter 265/2650 - loss 0.04759770 - time (sec): 16.01 - samples/sec: 9147.05 - lr: 0.012500
2023-04-06 05:13:06,911 epoch 150 - iter 530/2650 - loss 0.04752588 - time (sec): 32.04 - samples/sec: 9164.13 - lr: 0.012500
2023-04-06 05:13:23,490 epoch 150 - iter 795/2650 - loss 0.04828523 - time (sec): 48.62 - samples/sec: 9080.58 - lr: 0.012500
2023-04-06 05:13:39,825 epoch 150 - iter 1060/2650 - loss 0.04813692 - time (sec): 64.95 - samples/sec: 9048.80 - lr: 0.012500
2023-04-06 05:13:55,956 epoch 150 - iter 1325/2650 - loss 0.04806801 - time (sec): 81.09 - samples/sec: 9037.50 - lr: 0.012500
2023-04-06 05:14:12,268 epoch 150 - iter 1590/2650 - loss 0.04782457 - time (sec): 97.40 - samples/sec: 9037.63 - lr: 0.012500
2023-04-06 05:14:28,255 epoch 150 - iter 1855/2650 - loss 0.04791202 - time (sec): 113.38 - samples/sec: 9049.58 - lr: 0.012500
2023-04-06 05:14:44,323 epoch 150 - iter 2120/2650 - loss 0.04801901 - time (sec): 129.45 - samples/sec: 9038.97 - lr: 0.012500
2023-04-06 05:15:00,557 epoch 150 - iter 2385/2650 - loss 0.04813131 - time (sec): 145.69 - samples/sec: 9041.66 - lr: 0.012500
2023-04-06 05:15:16,710 epoch 150 - iter 2650/2650 - loss 0.04803280 - time (sec): 161.84 - samples/sec: 9035.87 - lr: 0.012500
2023-04-06 05:15:16,710 ----------------------------------------------------------------------------------------------------
2023-04-06 05:15:16,710 EPOCH 150 done: loss 0.0480 - lr 0.012500
2023-04-06 05:15:16,710 BAD EPOCHS (no improvement): 3
2023-04-06 05:15:17,131 ----------------------------------------------------------------------------------------------------
2023-04-06 05:15:17,131 Testing using last state of model ...
2023-04-06 05:15:36,275 Evaluating as a multi-label problem: False
2023-04-06 05:15:37,307 0.9851 0.9851 0.9851 0.9851
2023-04-06 05:15:37,307
Results:
- F-score (micro) 0.9851
- F-score (macro) 0.9729
- Accuracy 0.9851
By class:
precision recall f1-score support
NOUN 0.9849 0.9812 0.9830 29573
VERB 0.9862 0.9923 0.9892 25556
PUNCT 0.9998 1.0000 0.9999 20452
ADP 0.9846 0.9848 0.9847 18929
DET 0.9944 0.9949 0.9947 14951
PROPN 0.9771 0.9828 0.9799 13149
PRON 0.9946 0.9952 0.9949 11968
ADJ 0.9596 0.9474 0.9534 10417
ADV 0.9657 0.9585 0.9621 9065
CCONJ 0.9939 0.9899 0.9919 5126
PART 0.9687 0.9958 0.9821 3357
NUM 0.9853 0.9885 0.9869 3045
AUX 0.9975 0.9970 0.9973 2001
INTJ 0.9764 0.9764 0.9764 1609
SYM 1.0000 0.9760 0.9878 208
X 0.8857 0.7337 0.8026 169
accuracy 0.9851 169575
macro avg 0.9784 0.9684 0.9729 169575
weighted avg 0.9851 0.9851 0.9851 169575
2023-04-06 05:15:37,307 ----------------------------------------------------------------------------------------------------
|